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antithrombin III (Atenotiv / ATenativ / ATnativ)

✓ Approved

Pfizer, Inc. · SERPINC1 · 细胞治疗

什么是 antithrombin III？

antithrombin III 是一种细胞治疗，由Pfizer, Inc.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Atenotiv, ATenativ, ATnativ
公司Pfizer, Inc.
药物类别细胞治疗
分子靶点SERPINC1
给药途径Injectable (Others), Intravenous (IV)
状态Approved
来源： ClinicalTrials.gov, Pfizer, Inc.

作用机制

分子靶点

antithrombin III 作用于 1 个分子靶点：

SERPINC1serpin family C member 1 (ATIII, AT3D)
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

antithrombin III 针对 3 个适应症，涉及 3 个治疗领域。

治疗领域疾病/病症分期
Congenital, familial and genetic disordersAntithrombin III deficiency✓ Approved
Vascular disordersThrombosis✓ Approved
Surgical and medical proceduresAdjuvant therapy✓ Approved

相关研究文献

PubMedChemistry & biodiversity2026-09-10

Antioxidant Activities of Pentacyclic Triterpenes From Melipona beecheii Propolis and Their Semisynthetic Derivatives.

Santana-Hernández Aarón A, Yam-Puc Alejandro A, Yah-Nahuat Pamela P, Vargas-Vargas María M et al.

Four principal fractions (I-IV) were obtained from the Melipona beecheii propolis. GC-MS analysis of these fractions allowed us to recognize 11 pentacyclic triterpenes (PTs), fraction I [β-amyrin acetate (1), germanicol acetate (2), moretenol acetate (3) and 24-methylencycloartan-3-ol acetate (4)]; fraction II [marsformosanone (5), β-amyrenone (6), germanicone (7) and lupenone (8)]; fraction III [β-amyrin (9) and, glutinol (10)]; and fraction IV [9 and α-amyrin (11)]. This is the first time that triterpenes 7 and 10 are reported in the propolis of M. beecheii. Three semisynthetic derivatives were prepared: the reduction of fraction II and the acetylation and oxidation of fraction IV. The ethanolic extract of propolis and fraction III presented the highest free DPPH radical scavenging capacity at 53.89 ± 8.39% and 47.77 ± 0.91%, respectively, using a concentration of 10 mg/mL. In contrast, the reducing power of Fe (III) analysis showed a strong reducing power of Fe(III) for all fractions and their derivatives with an EC50 = 0.8-1.0 mg/mL.

PMID 42720076
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PubMedThe Journal of craniofacial surgery2026-09-10

Accuracy of Virtual Surgical Planning in Le Fort III Distraction Osteogenesis: A 3-Dimensional Evaluation of Planned and Achieved Outcomes.

Vercruysse Herman H, Rubio-Palau Josep J, De Casteele Elke Van EV, Nadjmi Nasser N et al.

Syndromic hypoplasia of the midface can be addressed by Le Fort III osteotomy. Three-dimensional planning tools and cutting guides have the potential to facilitate the design of Le Fort III osteotomy and distraction vectors, anticipate potential challenges, and mitigate adverse events. This study aimed to evaluate the accuracy of 3D-printed cutting guides for Le Fort III osteotomies with external-frame distraction osteogenesis and to identify the challenges associated with the manufacturing of these cutting guides. Virtual planning was implemented in the operating room using a 3D-printed supraorbital reference bar that incorporated puzzle-like connections for the planned osteotomy guides. This design has been discussed extensively. Various systems have been introduced to facilitate the transfer of distraction vectors and positioning of external midface distractors. The precision of the osteotomy cuts, placement of the frame, and distraction vector were verified using a standardized protocol comparing planned and postoperative imaging. The planning process and the subsequent transfer of virtual planning to the operating room were validated using five cases. The overall margin of error was ∼1.2 times the voxel size of the CT scan used for preoperative planning. Three-dimensional planning tools and cutting guides facilitate the design of Le Fort III osteotomy and the determination of the distraction vector. The implementation of a 3D-printed supraorbital reference bar ensures the precise transfer of the surgical plan to the operating room.

PMID 42720619
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PubMedRSC advances2026-09-10

Synthesis of Sb(iii)-immobilized on nitrogen-doped mesoporous silica nanotubes for efficient and green preparation of pyrazolopyranopyrimidines: comprehensive characterization, green chemistry evaluation and computational antifungal profiling against 5TZ1.

Jafari Taadi Zahra Z, Moradi Leila L, Moazeni Bistgani Azam A

In this study, a novel heterogeneous nanocatalyst, Sb(iii) immobilized on nitrogen-doped mesoporous silica nanotubes (N-MSNTs/Sb(iii)), was successfully synthesized. This catalyst was then applied in a one-pot, four-component synthesis of pyrazolopyranopyrimidine derivatives via the condensation of ethyl acetoacetate, hydrazine hydrate, aromatic aldehydes, and barbituric/thiobarbituric acid. Comprehensive characterization using FT-IR, FE-SEM, EDS, HR-TEM, XRD, and BET/BJH analyses confirmed its structural features. Notably, HR-TEM revealed hollow nanotubular structures with an inner diameter of ∼23 nm and a wall thickness of 27 nm. Moreover, BET/BJH measurements exhibited a type IV isotherm, indicative of a highly porous structure, with a remarkable specific surface area of 1255 m2 g-1, a pore volume of 0.71 cm3 g-1, and an average pore diameter of 2.26 nm. Catalytic evaluations demonstrated the superior performance of N-MSNTs/Sb(iii) in aqueous media at room temperature, affording the target compounds in high yields (78-96%) within short reaction times (35-85 min). This remarkable efficiency stems from synergistic activation of support by the nitrogen sites and active Sb(iii) Lewis acidic species. Furthermore, the catalyst exhibited excellent stability, maintaining its initial activity over five consecutive reuse cycles. Finally, molecular docking simulations were performed against the antifungal target 5TZ1. The results confirmed that the carbonyl and NH groups within the synthesized molecular scaffolds establish favorable binding interactions, highlighting the promising drug-like properties of the final products.

PMID 42719317
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PubMedDalton transactions (Cambridge, England : 2003)2026-09-10

Magneto-structural correlations in multinuclear Dy/Zn complexes: controlling magnetic relaxation through anisotropy and exchange interactions.

Panja Anangamohan A, Jagličić Zvonko Z, Jana Narayan Ch NC, Brandão Paula P et al.

The rational design of lanthanide-based single-molecule magnets (SMMs) requires an understanding of how structural variations influence magnetic anisotropy, exchange interactions, and relaxation dynamics. Herein, we report a family of multinuclear Dy(III)/Zn(II) complexes supported by a compartmental Schiff-base ligand, including two tetranuclear Dy4 clusters, [Dy4(L)2(HL)2(μ-OH)2(NO3)2](NO3)2·H2O (1) and [Dy4(L)2(μ-OH)2(μ-pnba)4(pnba)2]·3CH3CN (2), and two heterometallic Zn-containing complexes, [Zn2Dy2(L)2(μ-CO3)2(NO3)2]·0.5H2O·CH3OH (3) and [ZnDy(L)(μ-tfa)(hfac)2] (4). Single-crystal X-ray diffraction studies reveal that variations in the bridging modes, coordination environments, and metal-ion arrangements generate distinct structural motifs. Magnetic studies demonstrate diverse magnetic behaviours arising from differences in Dy(III) magnetic interactions and relaxation pathways. In particular, the Dy4 complexes exhibit different magnetic responses despite comparable Dy⋯Dy separations, indicating that the relative arrangement of the Dy(III) coordination environments plays a crucial role in determining the nature of magnetic interactions. Ab initio CASSCF calculations provide further insight into the relationship between structural features and magnetic properties by revealing variations in Dy(III) magnetic anisotropy and easy-axis orientations. The Zn-containing complexes further highlight the influence of magnetic-ion arrangement and nuclearity on relaxation dynamics. Correlation of structural, magnetic, and theoretical results suggests that the orientation of Dy(III) anisotropy axes, together with the balance between exchange and dipolar interactions, governs the observed magnetic behaviour. This study provides insights into the magneto-structural relationships controlling magnetic relaxation in multinuclear Dy-based complexes.

PMID 42720195
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PubMedAnnals of surgery2026-09-10

Impact of Number of Lymph Nodes Sampled and Density of Positive Nodes on Outcomes Among Over 2000 Patients With Stage I to III Favorable Histology Wilms Tumor Enrolled on AREN03B2: A Children's Oncology Group Renal Tumor Study.

Aldrink Jennifer H JH, Renfro Lindsay A LA, Kieran Kathleen K, Tfirn Ian C IC et al.

To determine whether the number of lymph nodes (LNs) sampled, LN positivity, and LN density impact event-free survival (EFS) or overall survival (OS) in patients with favorable histology Wilms tumor (FHWT). LN sampling is a core component of the surgical staging used to assign appropriate therapy in FHWT. LN sampling has also been independently associated with decreased recurrence and improved survival in FHWT. Patients with stage I to III FHWT enrolled on the Children's Oncology Group AREN03B2 study with upfront nephrectomy, confirmed LN sampling, and available follow-up and treatment data were included. Cox proportional hazards models with restricted cubic splines were used to visualize the effects of each continuous LN variable on the outcome. A total of 2310 patients met the inclusion criteria. Among stage I to III LN-negative patients, the number of LNs sampled was associated with OS (P=0.001) but did not impact EFS or vary by stage. In stage III LN-positive patients, neither the number of positive LNs nor LN density was associated with EFS or OS. EFS was significantly worse in stage III patients with LN-positive disease (LN-negative 4 y EFS: 93.7%, LN-positive 4 y EFS: 87.2%; P=0.0079), but OS did not differ significantly (LN-negative 4 y OS: 97.0%, LN-positive 4 y OS: 96.8%; P=0.61). While this analysis confirmed the negative prognostic impact of LN positivity on EFS and the association of OS and the number of LN sampled, these findings strongly underscore the need for standardized approaches to nodal sampling in FHWT. Such standardization is ongoing in current COG renal tumor trials.

PMID 42717377
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PubMedFrontiers in digital health2026-09-10

Clinical temporal relation extraction with long-context transformers: a robustness study on MIMIC-III and MIMIC-IV.

Padmavathi Polisetty Swetha V SV, Godavarthi Deepthi D

Temporal relation extraction from electronic health records is important for patient timeline construction and longitudinal clinical analysis, yet remains challenging because temporally relevant evidence may be distributed across extended clinical narratives. This study investigated whether long-context clinical transformers offer practical advantages for rule-based event-pair temporal relation classification across matched and transfer-oriented evaluation settings. Event-pair datasets were constructed from MIMIC-III and MIMIC-IV discharge summaries, with temporal labels assigned using a deterministic rule-based pipeline. The task was formulated as a four-class classification problem using BEFORE, AFTER, OVERLAP, and NONE labels. Clinical-Longformer and Clinical-BigBird were evaluated as primary long-context models, while BERT-base, BioBERT, Bio_ClinicalBERT and BiomedBERT served as standard-context baselines. To address GPU memory constraints during 4,096-token fine-tuning, a progressive two-stage strategy was used, in which long-context models were first fine-tuned at 1,024 tokens and then continued at 4,096 tokens. Experiments covered in-domain, zero-shot inter-dataset, and adaptation-based transfer settings. Clinical-BigBird achieved the best MIMIC-III in-domain macro-F1 of 93.85% and the strongest performance in both adaptation settings. Clinical-Longformer achieved the best MIMIC-IV in-domain macro-F1 of 97.32% and the strongest zero-shot MIMIC-IV-to-MIMIC-III macro-F1 of 92.36%. BERT-base and BioBERT reproduced the same directional transfer pattern, with stronger MIMIC-III-to-MIMIC-IV zero-shot results and improvements after adaptation. The 4,096-token continuation stage consistently outperformed 1,024-token training alone. Physician review confirmed 160 of 200 rule-derived labels as correct, corresponding to 80.0% agreement. Statistical testing supported selected improvements, although not all pairwise differences were significant. Long-context modeling was particularly useful for improving robustness to dataset shift and target-domain adaptation in clinical temporal relation extraction. However, the findings should be interpreted in the context of rule-derived silver labels.

PMID 42718729
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