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albumin (Zenalb)

✓ Approved

Kedrion · 细胞治疗 · 细胞治疗

什么是 albumin？

albumin 是一种细胞治疗，由Kedrion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Zenalb
公司Kedrion
药物类别细胞治疗
给药途径Injectable (Others), Intravenous (IV)
状态Approved
来源： ClinicalTrials.gov, Kedrion

治疗适应症

albumin 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
Vascular disordersThrombosis✓ Approved

相关研究文献

PubMedACS applied materials & interfaces2026-07-27

Impact of Amphiphilic Balance on Nano-Bio Interactions of Peptide Amphiphile Nanostructures.

Bonic Karla K, Mooney Kailin K, Xiang Li L, Esener Sadik S et al.

Self-assembled peptide amphiphile (PA)-based nanostructures are promising biomaterials with their biocompatibility and highly tunable physical and chemical properties. Despite this promise, the interactions of PA nanostructures with biological systems have remained largely unexplored. Here, we investigate nano-bio interactions of self-assembled PA nanostructures using a series of PAs with varying amphiphilicities, achieved by tuning the hydrophilicity of the peptide backbone and payloads attached to them. We show that, while PAs with hydrophilic peptide backbones and payloads mostly disassembled in blood plasma, increasing overall hydrophobicity improved their stability. We also report that disassembled PAs can bind to blood biomolecules and binding shifted from albumin to lipoproteins with increasing hydrophobicity. In addition, we show that the membrane-binding affinity of PAs increases with increasing PA hydrophobicity, which also induces membrane disruption and cytotoxicity. The results of this study highlight the critical role of the overall amphiphilic balance of PAs on their interactions with biological molecules and cell membranes.

PMID 42504466
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PubMedBiosensors2026-07-27

Electrochemical (Bio)Sensors for Antibiotic Residue Detection in Aquatic Animal Products: A Review.

Yang Meiqing M, Hu Qiuhe Q, Wang Suiping S, Lu Haozi H et al.

The rapid and sensitive quantification of antibiotic residues in aquatic animals is crucial for ensuring food safety and protecting public health. Electrochemical (bio)sensors show great potential in this field due to their quick response time, low cost, and ease of miniaturization. This paper presents a systematic review of advances in the electrochemical detection of eight classes of antibiotics: fluoroquinolones, sulfonamides, amphenicols, tetracyclines, nitrofurans, macrolides, aminoglycosides, and β-lactams in aquatic animal samples. It covers four types of sensors: direct electrochemical sensors, immunosensors, aptasensors, and molecularly imprinted sensors. The review emphasizes the electrochemical behavior of the targets, interface design, recognition elements, signal amplification strategies, and validation using real samples. It also summarizes the sample pretreatment methods for different classes of antibiotics. Finally, the paper analyzes key challenges related to adaptability to complex matrices, consistency in sample preparation, and validation with real-world samples. Additionally, it proposes future directions for development in this field.

PMID 42505435
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PubMedAnalytical science advances2026-07-27

Assessment of Biochemical Analytes Stability: The Role of Centrifugation and Storage Conditions in the Preanalytical Phase.

Jacike Zivile Z, Skripkauske Rugile R, Sauciuniene Zivile Z, Rajackaite Ema E et al.

The preanalytical phase represents a critical component of laboratory testing, encompassing all procedures prior to sample analysis and exerting a substantial influence on the quality and reliability of laboratory results. To evaluate changes in the concentrations of commonly measured biochemical analytes in blood samples subjected to different preanalytical conditions, including centrifugation duration, storage temperature and storage time. Blood samples obtained from 20 individuals (960 measurements) were analysed for glucose, albumin, alanine aminotransferase (ALT), aspartate aminotransferase (AST), total cholesterol (TC), high-density lipoprotein (HDL), low-density lipoprotein (LDL), triglycerides (TG), potassium (K), sodium (Na) and chloride (Cl). Samples were centrifuged for 5, 10 and 15 min, analysed under optimal conditions (within 2 h of collection), and subsequently reassessed after storage for 2, 4, 8, 10 and 14 days at +23, 4 and -20°C. Statistical analysis was performed using the Kruskal-Wallis test. Storage temperature significantly affected HDL, TG, ALT, AST, glucose, albumin, LDL, and TC (p < 0.001) concentrations, with higher HDL and TG concentrations at +23°C ([1.71(1.12-2.50)]mmol/l] and [1.82(0.73-10.19)]mmol/l respectively) and significant AST and ALT concentration decrease at 23°C ([16.0 (4-60)]U/l and [10.0(2-95)]U/l respectively). Storage duration influenced TC, HDL, TG, albumin, ALT, and AST concentrations (p < 0.001). Centrifugation time had a significant effect only on serum chloride and glucose concentrations (p = 0.018, p = 0.025 respectively). Most biochemical analytes were significantly influenced by storage temperature and duration, whereas centrifugation time had a comparatively limited effect.

PMID 42504208
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PubMedAnatolian journal of cardiology2026-07-27

Platelet-Albumin-Bilirubin Score Predicts In-Hospital Mortality in Patients with HFrEF Presenting with Acute Heart Failure.

Hekimsoy Vedat V, Tanık Veysel Ozan VO, Akbuğa Kürşat K, Taş Alperen A et al.

Patients with heart failure and reduced ejection fraction presenting with acute heart failure (HFrEF-AHF) carry a high in-hospital mortality. Conventional predictors do not fully capture the interplay between hepatic dysfunction, systemic inflammation, and nutritional decline. The platelet-albumin-bilirubin (PALBI) score, originally developed in hepatology, may offer incremental prognostic information in this setting. A total of 401 patients hospitalized with HFrEF-AHF were retrospectively studied. Baseline demographic, clinical, and laboratory data were collected. Platelet-albumin-bilirubin and albumin-bilirubin (ALBI) scores were calculated. The primary endpoint was all-cause in-hospital mortality. In-hospital mortality occurred in 47 patients (11.7%). Non-survivors were older, more frequently had chronic kidney disease (CKD), and showed lower albumin but higher bilirubin and N-terminal pro-B-type natriuretic peptide (NT-proBNP). Both PALBI and ALBI were significantly higher in non-survivors. In multivariable Cox analysis, PALBI independently predicted mortality (hazard ratio = 2.638, 95% CI: 1.177-4.099, P < .001), along with age, CKD, and NT-proBNP. Receiver operating characteristic analysis showed that PALBI demonstrated slightly better performance than conventional predictors and, compared with ALBI (area under the curve = 0.737 vs. 0.708), yielded a modest but significant net reclassification improvement (~10%). Kaplan-Meier curves demonstrated clear separation in survival across PALBI strata (log-rank, P < .001), and restricted cubic spline analysis confirmed a graded, continuous association with risk. The PALBI score independently predicts in-hospital mortality in patients with HFrEF-AHF and may represent a simple and clinically useful tool for early risk stratification. External validation in larger, multicenter cohorts is warranted.

PMID 42505005
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PubMedInorganic chemistry2026-07-27

Structure and Compressional Behavior of Sillén-Type (BiO)2(CO3) Bismutite Carbonate.

Chuliá-Jordán Raquel R, Santamaría-Pérez David D, Botan-Neto Benedito Donizeti BD, Bera Ganesh G et al.

In this joint experimental/computational work, we study the ambient-conditions structure of bismutite (BiO)2(CO3) and its evolution under high pressure by means of a combination of in situ synchrotron X-ray diffraction (XRD) measurements, Raman spectroscopy, and density-functional theory (DFT) calculations. Using single-crystal XRD, (BiO)2(CO3) is determined to be an orthorhombic Cmcm phase with disorder arising from carbonate rotations at ambient-conditions and DFT confirms the stability of the structure. In situ high-pressure synchrotron powder XRD measurements showed that the Cmcm ambient-pressure structure adequately accounts for the observed diffraction patterns up to 17.7 GPa. The compressibility was determined, obtaining an experimental bulk modulus of 67.2(11) GPa and significant anisotropy in the axial compressibilities: the a and c axes, parallel to the (BiO)22+ layers, are less compressible than the b direction perpendicular to those layers, which we justify on the basis of the bismuth lone electron pair compressibility and the slight reorientation of the carbonate groups. Raman spectroscopy measurements at ambient conditions and under pressure were used to characterize the vibrational properties of this carbonate, unvealing a differentiated behavior of the nonequivalent carbonate units.

PMID 42503691
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PubMedBiomimetics (Basel, Switzerland)2026-07-27

Machine Learning for Graduation Prediction in Higher Education: A Systematic Review with a Bio-Inspired Optimization Perspective.

Yáñez Andrés A, Crawford Broderick B, Monfroy Eric E, Paz Álex Á et al.

Timely graduation, time-to-degree, and degree completion are key indicators of student progression and institutional effectiveness in higher education. This study presents a PRISMA-based systematic literature review of machine learning approaches for graduation-related prediction, with attention to predictive targets, pipeline components, scalability, and bio-inspired optimization. Searches in Web of Science Core Collection and Scopus identified 278 records, of which 25 studies published between 2021 and 2025 met the eligibility criteria. The findings show that most studies formulated graduation prediction as a supervised classification task, relied heavily on academic performance variables, and frequently used tree-based or ensemble models. Feature selection, explainability, and hyperparameter optimization were commonly reported, but bio-inspired optimization was actively implemented in only two studies through Particle Swarm Optimization, Genetic Algorithms, or Ant Colony Optimization. The evidence base also remains limited in scalability, as most studies used single-institution datasets and provided little external validation. These findings identify an opportunity for Bio-Inspired Educational Analytics through scalable feature selection, efficient hyperparameter optimization, model simplification, and multi-objective trade-off analysis. Future research should evaluate whether lightweight, hybrid, and multi-objective metaheuristics can support accurate, interpretable, fair, and transferable graduation prediction systems.

PMID 42505545
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