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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

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Microbially induced calcite precipitation (MICP): mechanisms, engineering applications, and pathway to field-scale deployment - a comprehensive review.

He Tao T, Chen Jiaxing J, Lou Xiyan X

Over the last twenty years, there has been a great amount of multidisciplinary interest in Microbially Induced Calcite Precipitation (MICP) as a truly sustainable solution to ground treatment using Portland cement. The process utilizes the urease activity of ureolytic bacteria, most commonly Sporosarcina pasteurii to convert soluble urea and calcium to solid calcite in the pore space of granular media, providing cementation, impermeability reduction and contaminant sequestration without excavation or heat. This review compiles over sixty publications covering all aspects of MICP research, ranging from the enzymological chemistry of urease to the documented field trials of over 100 m3 of treated volume, to the thermodynamics of calcium carbonate polymorphism. Unconfined compressive strengths of over 10 MPa have been reached in laboratory columns and wind erosion reduction of 95% has been observed in field tests, while the efficiency of heavy metal removal can reach up to 99% for lead in aqueous laboratory systems, though removal efficiencies in soil matrices are typically lower and highly dependent on metal concentration, soil type, and treatment conditions. The self healing concrete application is the most advanced toward commercial maturity, and there are products available from Basilisk, Evonik and BioMason. Ground improvement, liquefaction mitigation, and coastal erosion control are other geotechnical applications at Technology Readiness Levels 5 to 7, with the challenges of uniformity of treatment in heterogeneous soils, management of the by-product of ammonium, bacterial transport at depth, and competitiveness with conventional grouting. New developments such as non-ureolytic microbial pathways, fiber and biochar reinforced hybrid biocementation, 3D bio-printing of living mineral structures, and process optimization via machine learning with R2 > 0,95, are also being explored. The review closes with a candid critique of the gaps in the research, especially long-term durability information, scale-specific cost analyses, and standardized monitoring protocols, which will decide whether or not MICP becomes a successful laboratory-based concept that moves into a common engineering tool.

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PubMedBiotechnology and applied biochemistry2026-09-11

Integrated Algal Biorefineries for Biofuel and Bioplastic Co-Production: Process Performance, Circularity, and Scale-Up.

S Senthil Kumar SK, S Bharani Kumar BK, J Srinivas S, R Ashok Kumar AK et al.

Algal biorefineries provide a platform for producing fuels, biodegradable materials, and higher-value co-products from the same biomass resource. This review examines integrated pathways that connect microalgal and macroalgal cultivation with biodiesel production, hydrothermal liquefaction (HTL), anaerobic digestion (AD), polysaccharide extraction, and bioplastic manufacture. Microalgal lipid contents of 40%-70% of dry biomass can support biodiesel production, whereas hydrothermal processing of wet biomass has produced bio-crude yields of 30-50 wt% with energy densities of approximately 35-40 MJ/kg. Macroalgal polysaccharides, including alginate, agar, and carrageenan, can be processed into films, blends, and composites with reported tensile strengths of 18-45 MPa. However, the environmental and economic performance of these routes depends on cultivation configuration, dewatering requirements, product recovery, allocation method, and system boundary. Published techno-economic estimates place stand-alone algal biodiesel production at approximately USD 4-7 gal-1. In contrast, integrated scenarios can approach USD 2.50 gal-1 when favorable biomass productivity and co-product credits are assumed. Machine-learning (ML) methods have mainly been applied to laboratory data analysis and process prediction, while evidence of commercial real-time control remains limited. The review identifies mass-balance reporting, long-duration outdoor cultivation, standardized biodegradation testing, and harmonized techno-economic and life-cycle assessment as priorities for scale-up.

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PubMedF1000Research2026-09-11

Dynamics of Body Mass Index and Serum Albumin Levels Before and After the Intensive Phase of Tuberculosis Treatment.

Agaus Lisna Rosalia LR, Ilyas Muh M, Sudarso Agus A, Bakri Syakib S et al.

Tuberculosis remains a major global health problem and is frequently associated with malnutrition, which can negatively affect treatment outcomes. This study aimed to evaluate changes in body mass index (BMI) and serum albumin levels before and after the intensive phase of tuberculosis treatment. An observational analytic study with a prospective cohort design was conducted at Dr. Wahidin Sudirohusodo Hospital, Makassar. A total of 175 newly diagnosed tuberculosis patients were enrolled. BMI and serum albumin levels were measured at baseline and after completion of the two-month intensive treatment phase. Paired sample t-tests were used to assess differences between pre- and post-treatment values. BMI increased significantly from 19.21 ± 3.55 kg/m 2 to 19.78 ± 3.50 kg/m 2 ( p < 0.0001), corresponding to a 2.96% improvement. Serum albumin levels also increased significantly from 3.06 ± 0.62 g/dL to 3.25 ± 0.64 g/dL ( p < 0.0001), with an average improvement of 6.17%. Additionally, the proportion of patients with normal nutritional status increased, while the proportion of underweight patients decreased significantly after treatment ( p = 0.002). Intensive-phase anti-tuberculosis therapy is associated with significant improvements in both anthropometric and biochemical nutritional parameters. Routine monitoring of BMI and serum albumin may serve as practical indicators for assessing treatment response and guiding nutritional interventions in tuberculosis patients.

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PubMedTranslational pediatrics2026-09-11

Predictive value of neutrophil-to-lymphocyte ratio and fibrinogen degradation products for renal involvement in pediatric immunoglobulin A vasculitis.

Li Guangbo G, Liao Jianying J, Zhan Zhuqin Z, Zeng Jinhua J et al.

Immunoglobulin A vasculitis nephritis (IgAVN) is the most severe complication of IgA vasculitis (IgAV) in children, yet early predictors of renal involvement remain limited. The aim of this study is to analyse the risk factors for the development of IgAVN in children with IgAV, with a view to improving early diagnosis and treatment, reducing complications and enhancing patient prognosis. This was a retrospective analysis. A total of 100 pediatric patients with IgAV hospitalized at Children's Hospital of Fudan University Xiamen Branch (Xiamen Children's Hospital) between January 2023 and June 2025 were included in the study. Patients were divided into two groups based on the presence or absence of IgAVN. Clinical characteristics and laboratory parameters were collected. Risk factors were identified using univariate and multivariate analyses, and a risk prediction model was established using logistic regression. Model performance was evaluated using the area under the receiver operating characteristic (ROC) curve (AUC). A total of 100 children with IgAV were ultimately included in this study, comprising 56 males and 44 females. They were divided into an IgAVN group (n=32) and a non-IgAVN group (n=68). Univariate analysis revealed that three laboratory parameters [C‑reactive protein (CRP), neutrophil‑to‑lymphocyte ratio (NLR), fibrinogen degradation products (FDP)] showed statistically significant differences between the IgAVN and non-IgAVN groups (P<0.05). We included the three laboratory parameters (CRP, NLR, and FDP) that showed statistically significant differences in the univariate analysis into the multivariate analysis and found that elevated NLR [odds ratio: odds ratio (OR) =1.446, 95% confidence interval (CI): 1.080-1.934, P=0.01] and elevated FDP (OR =1.854, 95% CI: 1.133-3.034, P=0.01) were independent risk factors for the development of IgAVN in children with IgAV. ROC curve analysis results showed that the AUCs for NLR >5.23 and FDP >12.35 µg/mL were 0.634 and 0.830, respectively, while the AUC for the combined NLR and FDP model was 0.882. Compared with individual indicators, the combined model demonstrated superior predictive value for IgAVN, with a sensitivity of 86.95% and a specificity of 87.40%. Elevated NLR and FDP are independent risk factors for the development of IgAVN in patients with IgAV. The combination of NLR >5.23 and FDP >12.35 µg/mL demonstrates good clinical predictive value for IgAVN and warrants attention from clinicians.

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PubMedFrontiers in cardiovascular medicine2026-09-11

A composite model incorporating systemic inflammatory burden and GRACE score for enhanced identification of elevated myocardial stress in acute myocardial infarction: an exploratory analysis.

Libao Peng P, Wenji Lin L, Mengjiao Wang W, Jiali Zou Z

Acute myocardial infarction (AMI) remains a leading cause of mortality and heart failure worldwide. Early identification of patients with elevated myocardial stress, a key driver of adverse outcomes, is clinically important. However, the utility of a composite inflammatory burden score for this purpose remains unclear. This retrospective study enrolled 302 consecutive patients hospitalized for AMI at Shenzhen Qianhai Shekou Hospital between January 2023 and December 2024, with 50 healthy controls for descriptive purposes only. Patients were stratified into three groups based on their systemic inflammatory burden score (SIBS): low (score 0), intermediate (score 1), and high (score 2) inflammatory burden. Clinical characteristics, laboratory parameters, and in-hospital outcomes were compared across groups. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the discriminatory ability of SIBS, GRACE score, hs-CRP, albumin, C-reactive protein-to-albumin ratio (CAR), and a composite logistic regression model combining SIBS ≥ 1, GRACE score, and hs-CRP for identifying elevated myocardial stress, defined as NT-proBNP >75th percentile (647 pg/mL) as an exploratory surrogate endpoint. Areas under the curve (AUC) were compared using the DeLong test. Internal validation was performed using 10-fold cross-validation and bootstrap optimism correction on the final model. The SIBS was significantly correlated with heart rate, Killip class, GRACE score, left ventricular ejection fraction (LVEF), prevalence of multi-vessel coronary disease, and length of hospital stay in AMI patients (P < 0.05). The high inflammatory burden group (SIBS = 2) exhibited more severe cardiac dysfunction and extensive coronary artery disease. For identifying elevated myocardial stress, the GRACE score yielded the highest AUC among individual markers (0.766), followed by albumin (0.707) and hs-CRP (0.671). The composite model incorporating SIBS ≥ 1, GRACE score, and hs-CRP significantly improved discriminatory capacity, achieving an apparent AUC of 0.815 (95% CI: 0.737-0.888), which was superior to any single marker alone (P < 0.05). After bootstrap optimism correction, the corrected AUC was 0.798, and the Hosmer-Lemeshow test indicated good calibration (P = 0.32). The model also showed a Brier score of 0.168, a calibration slope of 0.94 (95% CI: 0.82-1.06), and a calibration intercept of -0.12 (95% CI: -0.45 to 0.21). In this exploratory analysis, SIBS is associated with clinical severity and myocardial stress in AMI patients. A composite model combining SIBS, GRACE score, and hs-CRP improves identification of elevated myocardial stress compared with single biomarkers in this exploratory analysis. External validation is needed before clinical application.

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PubMedFrontiers in neurology2026-09-11

Total cerebrospinal fluid IgA as a candidate adjunctive biomarker associated with autoimmune encephalitis: a retrospective case-control study.

Wang Dongxing D, Tan Ling L, Yang Pengzhu P, Lv Bo B et al.

Autoimmune encephalitis (AE) is a rare but severe immune-mediated disease of the central nervous system. Early diagnosis remains challenging, and total cerebrospinal fluid (CSF) IgA is a routinely measurable parameter. However, its association with AE and its potential value as a candidate adjunctive biomarker remain unclear. To investigate whether total CSF IgA is independently associated with AE and to explore its potential as a candidate adjunctive biomarker for identifying AE cases. We conducted a single-center retrospective case-control study at the Second Affiliated Hospital of Soochow University (January 2010-June 2025), enrolling patients with autoimmune encephalitis and symptomatic controls with non-inflammatory, non-organic neurological disorders. Clinical, laboratory, and neuroimaging data were collected. Logistic regression was used to assess the independent association of total CSF IgA with autoimmune encephalitis and to construct a prediction model. Model performance was evaluated using receiver operating characteristic curves, calibration plots, decision curve analysis, and bootstrap internal validation. A total of 101 patients with AE and 80 controls were included. Total CSF IgA levels were significantly higher in patients with AE than in controls (median 6.03 vs. 1.46 mg/L, p < 0.001). In the initial multivariable logistic regression model, total CSF IgA was independently associated with AE (OR = 31.63, 95% CI: 2.13-469.09, p = 0.011). The final model incorporated CSF IgA, CSF WBC count, CSF total protein, CSF albumin, blood WBC count, and serum globulin, with CSF IgA remaining independently associated with AE (adjusted OR, 20.53; 95% CI, 4.77-167.45). Although the wide confidence interval warranted caution in interpreting the magnitude of the association. The overall model showed excellent discrimination (AUC = 0.990, 95% CI: 0.982-0.999), good calibration (Brier score, 0.037), and a clear net clinical benefit on decision curve analysis. Total CSF IgA was independently associated with AE, and a multivariable model combining CSF IgA with routine laboratory parameters showed excellent discrimination and good calibration in distinguishing AE from symptomatic controls. As a rapidly measurable parameter, it shows promise as a candidate adjunctive biomarker. However, its specificity in distinguishing AE from clinical mimics remains uncertain, warranting validation in larger, independent studies.

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