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Factor VIIa (AryoSeven)

✓ Approved

AryoGen Pharmed · F7 · Recombinant Proteins

What is Factor VIIa?

Factor VIIa is a recombinant proteins developed by AryoGen Pharmed. It is approved for therapeutic indications via injectable (others) or intravenous (iv).

Drug Profile

Brand NamesAryoSeven
CompanyAryoGen Pharmed
Drug ClassRecombinant Proteins, Cell-based Therapies
Molecular TargetF7
RouteInjectable (Others), Intravenous (IV)
StatusApproved
Sources: ClinicalTrials.gov, AryoGen Pharmed

Mechanism of Action

Molecular Targets

Factor VIIa acts on 1 molecular target:

F7coagulation factor VII (SPCA)
Want deeper analysis?Noah AI can explain complex mechanisms and compare to similar drugs.

Therapeutic Indications

Factor VIIa is developed for 4 unique indications across 2 therapeutic areas.

Therapeutic AreaConditionPhase
Vascular disordersExtravasation blood✓ Approved
Congenital, familial and genetic disordersFactor IX deficiency✓ Approved
Congenital, familial and genetic disordersFactor VIII deficiency✓ Approved
Vascular disordersHaemorrhage✓ Approved

Related Research Articles

PubMedJournal of patient safety2026-10-22

Validation and Psychometric Evaluation of the Turkish Nursing Quality Improvement Attitude Scale.

Gür Özlem Ö, Çiçek Korkmaz Ayşe A

This study aimed to determine the validity and reliability of the Turkish version of the Nursing Quality Improvement Attitude Scale. A cross-sectional, multisite approach was used between April and November 2022 to collect data from 519 nurses across 4 distinct health care settings, including public and training-research hospitals located in a provincial center and 2 districts of the Black Sea Region, Turkey. Data were collected using a demographic information form and the Turkish version of QINASE. The original scale consists of 35 items, is unidimensional, and uses a 5-point Likert response scale. The original scale showed good psychometric properties, with a Cronbach alpha coefficient of 0.97. The QINASE was linguistically adapted using a forward-backward translation method and evaluated for content validity by experts, while its psychometric properties were assessed through Exploratory and Confirmatory Factor Analyses, along with Cronbach alpha and intraclass correlation coefficients for reliability. Following the expert review, the scale's Content Validity Index (CVI) was determined to be 0.87. Based on the factor analysis results, 8 items were removed from the instrument to ensure structural integrity. Exploratory Factor Analysis (EFA) yielded a 27-item structure across 4 dimensions, which was further validated by Confirmatory Factor Analysis (CFA) and assessments of convergent and divergent validity. The identified factors were labeled as follows: 'Belief in Quality Improvement,' 'Institutional and Safety Culture,' 'Teamwork and Collaboration,' and 'Error Reporting.' No significant differences were observed between the test-retest mean scores of the scale or its sub-dimensions (P>0.05), while a strong, significant correlation was identified between the scores (P<0.001). Internal consistency analysis revealed a Cronbach alpha coefficient of 0.93 for the overall scale, with sub-dimension values ranging from 0.72 to 0.93. Finally, item-total correlation values ranged between 0.332 and 0.727, indicating that all items were significantly interrelated. In this study, it was determined that the Turkish form of the scale is a valid and Reliable measurement tool for determining nurses' quality improvement attitudes.

PMID 42902992
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PubMedFrontiers in plant science2026-10-22

Integrated multi-omics analysis reveals key genes and metabolic regulatory networks involved in the drought stress response of potato.

Liu Yaqi Y, Suri Guga G, Wuyun Dalai D, Chu Ying Y et al.

Against the backdrop of global warming, drought events have become increasingly frequent and represent a major environmental stress factor limits potato yield stability and sustained yield improvement. In this study, integrated transcriptomics and widely targeted metabolomics were used to characterize the response of the potato cultivar 'Jizhangshu 12' to moderate (T1) and severe (T2) drought stress, and RT-qPCR was used to validate key genes. 1,135 differentially expressed genes and 39 differentially accumulated metabolites were identified under moderate drought stress, whereas 505 differentially expressed genes and 158 differentially accumulated metabolites were identified under severe drought stress. GO and KEGG enrichment analyses indicated that phenylpropanoid-flavonoid biosynthesis, α-linolenic acid metabolism, glycerophospholipid metabolism, and MAPK-hormone signaling pathways were core modules involved in the drought response of potato. The COMT1 gene LOC102601955, F3'H gene LOC102596126, ABCG transporter gene LOC102602737, and WRKY transcription factor gene LOC102587289 were identified as core candidate drought-tolerance genes. The MAPK pathway may positively regulate lipid and steroid accumulation while negatively regulating flavonoid and phenolic biosynthesis. These findings elucidate distinct transcriptional-metabolic regulatory networks and provide candidate genes and metabolites for breeding drought-tolerant potato cultivars.

PMID 42903084
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PubMedPediatric endocrinology, diabetes, and metabolism2026-10-22

Examination of factors affecting adropin levels in healthy and obese children.

Dişçi Esra E, Kaya Serap Kılıç SK, Dönmez Ayşe Sena AS, Cayir Atilla A et al.

There are very different reports regarding whether adropin levels are low, moderate, or high in childhood obesity and obesity-related comorbidities. However, data on the effects of age, sex, and puberty are insufficient. We planned a case-control study consisting of 59 obese patients (female [F] = 35/male [M] = 24) and 40 healthy controls (F = 21/M = 19). Additionally, obese children were re-evaluated following a 12-week diet intervention. Serum glucose, insulin, lipid profiles, liver function tests, and adropin levels were examined. While age (12.5 ±4.1 years vs. 9.9 ±4.7 years, p = 0.006), body mass index (BMI) standard deviation score (SDS) (3.1 ±0.7 standard deviation [SD] vs. -0.3 ±0.8 SD, p < 0.001), and alanine aminotransferase (ALT) (30 ±16.9 U/l vs. 17.7 ±7.1 U/l, p < 0.001) were higher in obese children, adropin (212.2 ±67.7 ng/l vs. 369.2 ±64.6 ng/l, p < 0.001) was lower than healthy controls. When age, sex, BMI SDS, and ALT were evaluated together in multivariate regression analysis (all patients), BMI SDS was found to be the only independent factor effecting adropin level ( = -0.6, p < 0.001). We observed an increase in adropin levels compared to baseline following 12-week diet intervention, in obese children (212.2 ±67.7 ng/l vs. 237.4 ±87.3 ng/l, p = 0.03). The effect of parameters such as age, sex, and BMI SDS on adropin shows that the only independent factor effecting the alteration of adropin level is BMI SDS.

PMID 42902703
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PubMedAging cell2026-10-22

Cellular Senescence Dysregulates Antiviral Interferon Responses in Idiopathic Pulmonary Fibrosis.

Hughes Jun-Wei B JB, Reisser Yasmina Y, Hornung Franziska F, Hilsabeck Tyler A U TAU et al.

Patients with idiopathic pulmonary fibrosis (IPF) are highly vulnerable to respiratory virus infections, but the cellular mechanisms linking fibrotic remodeling to impaired local antiviral defense remain unclear. Here, we investigated how cellular senescence shapes the response of patient-derived healthy (HLF) and IPF primary lung fibroblasts to influenza A virus (IAV) infection. Transcriptomic profiling identified infection as the driver of gene expression in both DNA damage-induced senescent HLF and IPF fibroblasts and revealed induction of canonical antiviral pathways in both cell states. However, senescent IPF fibroblasts adopted a distinct antiviral response state characterized by a broader set of uniquely induced genes and differential coordination of antiviral transcriptional networks. Functionally, senescence increased viral titers in HLF and IPF fibroblasts, while senescent IPF fibroblasts displayed an altered inflammatory response. Network analysis linked viral response- and cell cycle-associated modules specifically to the senescent HLF infected state, whereas these programs were weaker in senescent IPF fibroblasts. Transcription factor inference identified IRF3 and STAT1 as candidate regulators of this altered antiviral state in both senescent HLF and IPF fibroblasts. Consistent with the network and transcription factor analyses, siRNA-mediated depletion of IRF3 or STAT1 significantly reduced IFN-β secretion in senescent HLF fibroblasts, whereas IPF fibroblasts showed only milder effects, indicating a disease-specific dependence on these pathways for antiviral control. Together, these findings show that the combination of cellular senescence and fibrotic fibroblast identity creates a dysfunctional antiviral state that may help explain the high susceptibility of IPF patients to virus-associated acute exacerbations and disease worsening.

PMID 42902866
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PubMedFrontiers in public health2026-10-22

Long-term exposure to ambient air pollution and lipid profiles: a longitudinal study in a heavily industrialized region of northern China.

Sun Caiyun C, Li Xiaofeng X, Miao Yuanjia Y, Shen Jiayu J et al.

Dyslipidemia is an important modifiable risk factor for cardiovascular disease, and growing evidence suggests that long-term ambient air pollution exposure may adversely affect lipid metabolism. However, longitudinal evidence from heavily industrialized regions with complex multipollutant exposure remains limited. We conducted a repeated-measures study of 9,040 adults with 19,113 lipid measurements from a health-screening program in Shanxi Province, China, between October 2019 and September 2023. Three-year average exposures to PM2.5, PM10, O3, SO2, NO2, and CO were estimated using the high-resolution ChinaHighAirPollutants (CHAP) dataset based on geocoded residential addresses. Linear mixed-effects models and generalized linear mixed-effects models were used to evaluate associations with lipid profiles and dyslipidemia, respectively. Restricted cubic spline, stratified, sensitivity, and quantile g-computation-style mixed-effects analyses were further conducted. Higher long-term exposure to PM2.5, PM10, O3, NO2, and SO2 was associated with higher triglyceride (TG), total cholesterol (TC), and low-density lipoprotein cholesterol (LDL-C) levels and lower high-density lipoprotein cholesterol (HDL-C) levels, whereas CO showed weaker associations. Among pollutants, PM2.5 showed relatively pronounced associations; each 10 μg/m3 increase was associated with 1.85, 1.70, and 1.81% increases in TG, TC, and LDL-C, respectively, and a 1.55% decrease in HDL-C. Similar patterns were observed for dyslipidemia. Stratified analyses suggested potential effect modification by sex, age, and BMI for selected pollutant-lipid associations, with the most robust interaction signals observed for age-stratified HDL-C associations after false discovery rate (FDR) correction. The associations remained consistent in sensitivity analyses. Restricted cubic spline analyses suggested nonlinear exposure-response relationships between PM2.5 and lipid parameters, while the quantile g-computation-style mixed-effects analysis indicated that multipollutant exposure was associated with adverse lipid profiles, with PM2.5 and O3 showing relatively large weights in the overall mixed-exposure association. Long-term ambient air pollution exposure was associated with adverse lipid profiles and may be related to higher odds of dyslipidemia among adults in a heavily industrialized region of northern China. These findings suggest that ambient air pollution may be an important environmental factor associated with lipid metabolism and highlight the need to consider long-term multipollutant exposure in cardiometabolic health research and prevention strategies.

PMID 42903168
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PubMedSmall (Weinheim an der Bergstrasse, Germany)2026-10-22

Multifunctional Molecular Bridge for Synergistic Interfacial Regulation Toward Efficient Perovskite Solar Cells.

He Qingquan Q, Guo Qingyue Q, Zhou Feiyi F, Dai Runze R et al.

The performance of self-assembled monolayers (SAMs) in perovskite solar cells (PSCs) is frequently hindered by molecular aggregation, poor interfacial wettability, and high buried-interface defect density. Herein, we introduce 4-carboxyphenylboronic acid (CPBA) as a multifunctional molecular bridge to synergistically engineer the buried interface through co-assembly with Me-4PACz. CPBA anchors its carboxylic groups onto the NiOx substrate, refining SAM morphology and enhancing wettability, while its exposed boronic acid (-B(OH)2) groups multifunctionally passivate perovskite interfacial defects via Lewis acid-base coordination and hydrogen bonding, and its strong molecular dipole optimizes energy-level alignment for efficient hole extraction. Moreover, CPBA modulates perovskite crystallization kinetics, yielding high-quality films with enlarged grains and reduced grain-boundary defects. Consequently, CPBA-modified PSCs achieved a power conversion efficiency of 26.02%, with an open-circuit voltage of 1.191 V and a fill factor of 83.67%. Unencapsulated devices maintained 91% of their initial efficiency after 1800 h of storage and 88% after 1300 h of thermal aging at 65°C. This molecular-bridging strategy provides a robust pathway toward efficient and durable perovskite photovoltaics.

PMID 42902864
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