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Ypeginterferon alpha-2b (PegBeron)

✓ Approved

Xiamen Amoytop Biotech Co.ltd · Recombinant Proteins · Recombinant Proteins

What is Ypeginterferon alpha-2b?

Ypeginterferon alpha-2b is a recombinant proteins developed by Xiamen Amoytop Biotech Co.ltd. It is approved for therapeutic indications via injectable (others) or subcutaneous injection.

Drug Profile

Brand NamesPegBeron
CompanyXiamen Amoytop Biotech Co.ltd
Drug ClassRecombinant Proteins
RouteInjectable (Others), Subcutaneous Injection
StatusApproved
Sources: ClinicalTrials.gov, Xiamen Amoytop Biotech Co.ltd

Therapeutic Indications

Ypeginterferon alpha-2b is developed for 3 unique indications across 2 therapeutic areas.

Therapeutic AreaConditionPhase
Infections and infestationsHepatitis B✓ Approved
Infections and infestationsHepatitis C✓ Approved
Neoplasms benign, malignant and unspecified (incl cysts and polyps)Essential thrombocythaemiaPhase II

Related Research Articles

PubMedNeuromodulation : journal of the International Neuromodulation Society2026-05-24

Anodal Transcranial Pulsed Current Stimulation at Alpha-Gamma Frequencies: Effects on Corticospinal and Cortico-Cortical Excitability.

Malekahmad Mona M, Frazer Ashlyn K AK, Zoghi Maryam M, Jaberzadeh Shapour S

Transcranial pulsed current stimulation (tPCS) is a frequency-dependent neuromodulation technique, but its mechanisms at alpha-gamma frequencies remain unexplored. This study investigated the effects of anodal tPCS (a-tPCS) at 10, 25, and 80 Hz and sham stimulation on cortical outcomes and side effects. In this double-blinded, randomized, counterbalanced crossover trial, 15 healthy participants completed four experimental sessions (2 mA, 20 minutes). Single-pulse transcranial magnetic stimulation (TMS) and paired-pulse TMS were delivered over the primary motor cortex before and after each a-tPCS condition, with a minimum 48-hour washout period to prevent carryover effects. Findings indicated that a single-session a-tPCS at these frequencies enhanced corticospinal excitability (CSE) compared with sham stimulation (p < 0.05) with minimal side effects during stimulation. CSE increase at 10 Hz (64.6%) and 25 Hz (44.9%) showed concurrent intracortical facilitation (ICF) modulation. However, at 80 Hz, a 27.66% increase in CSE was observed alongside a reduction in short-interval intracortical inhibition, as indicated by an increased conditioned or unconditioned motor evoked potential ratio. These findings should be interpreted with caution, given their proximity to statistical thresholds. Alpha-beta a-tPCS increased CSE, accompanied by changes in ICF, which may reflect facilitation of excitatory intracortical circuits potentially involving glutamatergic mechanisms. However, gamma-frequency stimulation showed a pattern that may reflect compensatory inhibitory processes potentially related to gamma-aminobutyric acidergic activity. Alpha-gamma a-tPCS may provide a safer neuromodulation approach for further clinical research into its efficacy.

PMID 42175974
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PubMedPoultry science2026-05-24

Dietary alpha‑lipoic acid, sprouted wheat, and multi‑enzyme supplementation improve yolk fatty acid profile and antioxidant status in laying hens.

Fazlollah Farbood F, Ghazanfari Shokoufe S, Sharifi Seyed Davood SD, Nobari Karim K et al.

In a completely randomized trial, we investigated the individual and combined effects of sprouted wheat (SW, 5%), a multi‑enzyme blend (ME; 500 mg/kg), and alpha‑lipoic acid (ALA; 300 mg/kg) on yolk fatty acid composition and cholesterol content, blood biochemical indices, and oxidative‑stress‑related parameters in SuperNick laying hens, using 10 dietary treatments (n = 200; five replicates of four hens each) over a 60‑day period. Experimental diets containing 5% wheat or wheat sprout produced only modest changes in dietary fatty acid composition, with all diets remaining high in polyunsaturated fatty acids (PUFA) and low in trans‑fatty acids. Wheat slightly improved the PUFA to saturated fatty acid (SFA) ratio and the proportion of long‑chain n‑3 PUFA, while both wheat and sprouted wheat marginally reduced the excessively high n‑6 to n‑3 and linoleic / alpha‑linolenic acid ratios compared with the corn‑based control. In egg yolk, dietary treatments significantly modified saturated, monounsaturated, and polyunsaturated fatty acid profiles (P < 0.001). Alpha‑lipoic acid was the main driver of changes in SFA, lowering total SFA primarily through reductions in palmitic, myristic, and heptadecanoic acids, and increasing very‑long‑chain SFA. Yolk monounsaturated fatty acids were also affected, with ALA decreasing palmitoleic and oleic acids but increasing erucic acid, whereas wheat form and ME exerted smaller, more specific effects such as increased nervonic acid with sprouted wheat. Polyunsaturated fatty acids, particularly linoleic, alpha‑linolenic, eicosapentaenoic, and docosahexaenoic acids, were enhanced by ALA, especially in corn + ALA and wheat + ME + ALA diets, resulting in improved yolk n‑3 content and n‑3 to n‑6 ratio. Blood metabolites and antioxidant indices were strongly influenced by diet (P < 0.001), with ALA consistently lowering total cholesterol and triglycerides, modifying lipoprotein fractions, increasing superoxide dismutase activity, and reducing malondialdehyde, while sprouted wheat and ME alone showed limited but favorable effects on lipid peroxidation. Overall, ALA supplementation, especially in combination with wheat‑based diets and ME, beneficially modulated yolk fatty acid profile and systemic oxidative status, with only minor alterations in basal dietary lipid composition.

PMID 42176580
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PubMedJournal of vascular research2026-05-24

Vascular Ageing in Conditions Associated With Early Onset Hypogonadism.

Lucas-Herald Angela K AK, McNeilly Jane D JD, Ahmed S Faisal SF

Early-onset hypogonadism may increase the risk of early vascular ageing (EVA). Boys with conditions linked to intrauterine hypogonadism-Klinefelter syndrome (KS) and hypospadias-were recruited alongside healthy controls. Assessments included clinic blood pressure (BP), flow-mediated dilatation, carotid intima-media thickness (CIMT), and pulse wave velocity (PWV). Fasting blood tests measured testosterone, anti-Müllerian hormone, luteinising hormone, follicle-stimulating hormone, triglycerides, glucose, and cholesterol. Oxidative stress and epigenetic markers were evaluated using total antioxidant capacity (TAOC), peroxide, oxidative stress index (OSI), 8-hydroxy-2'-deoxyguanosine (8OHdG), thiobarbituric acid reactive substances (TBARS), glutathione, alpha klotho protein, histone H3 modification, telomerase, and DNA methyltransferase (DNMT) activity. Eleven boys per group were studied (median age 14.5 years). Systolic BP was higher in KS and hypospadias compared with controls. CIMT and pulse pressure were elevated in hypospadias versus controls. Mean arterial pressure was increased in KS. Oxidative stress markers (TBARS, TAOC, peroxide, OSI) were higher in hypospadias. 8OHdG was elevated in hypospadias versus controls but lower than in KS. DNMT activity was increased in both KS and hypospadias. No differences were observed in alpha klotho, histone H3 modification, or telomerase. Adolescents with early-onset hypogonadism show evidence of EVA, with associated oxidative stress and epigenetic alterations warranting further investigation.

PMID 42176296
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PubMedWorld neurosurgery2026-05-24

An Explainable Machine Learning Model Integrating Transcranial Doppler and Clinical Data to Predict Outcomes After Endovascular Thrombectomy in Acute Ischemic Stroke.

Chen Xiaoqiong X, Huang Qun Q, Yang Xiao X, Yang Shuping S et al.

Endovascular thrombectomy (EVT) has improved outcomes in patients with acute ischemic stroke due to large vessel occlusion (AIS-LVO); however, a substantial proportion of patients still experience poor functional outcomes despite successful recanalization. Growing evidence suggests that post-procedural cerebral hemodynamics are closely associated with recovery after EVT. This study aimed to develop an interpretable machine learning (ML) model integrating transcranial Doppler (TCD)-derived hemodynamic parameters and clinical features to predict 3-month functional outcomes after EVT. This retrospective cohort study included 176 AIS-LVO patients who achieved successful recanalization (mTICI ≥ 2b) and underwent TCD monitoring within 72 hours after EVT. Model development and performance assessment were conducted using a bootstrap-based internal-validation framework with 1,000 stratified bootstrap replicates. Within each replicate, preprocessing and LASSO-penalized logistic regression were performed using the in-bag data for feature selection. Five classifiers (logistic regression, support vector machine, k-nearest neighbors, random forest, and gradient boosting machine) were trained on in-bag samples and evaluated on out-of-bag samples. Performance was assessed using the area under the receiver operating characteristic curve and threshold-based metrics, with calibration and decision curve analyses. Model interpretability was examined using SHapley Additive exPlanations (SHAP). Across bootstrap replicates, smoking status, PSV_Ratio, age, and MFV_Index were the most frequently selected predictors. Under internal validation, all models showed stable discrimination, and the random forest demonstrated the most favorable overall performance, with good calibration and net benefit. SHAP identified MFV_Index as the most influential feature, followed by PSV_Ratio, smoking status, and age. Higher MFV_Index, higher PSV_Ratio, smoking, and older age were associated with a higher predicted risk of unfavorable outcome. Using bootstrap-based internal validation, we developed an interpretable ML model integrating post-EVT TCD hemodynamics and clinical factors that showed promising internally validated performance for predicting 3-month functional outcomes after EVT. MFV_Index, PSV_Ratio, smoking status, and age were key predictors, highlighting the potential relevance of post-reperfusion cerebral hemodynamics and baseline vascular risk.

PMID 42176732
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PubMedAdvances in protein chemistry and structural biology2026-05-24

Identification of common hub genes and pathways in systemic lupus erythematosus and cervical cancer using bioinformatics approach.

Loganathan Tamizhini T, Madhulekha S S, Zayed Hatem H, C George Priya Doss GPD

Systemic lupus erythematosus (SLE) is a complex autoimmune condition characterized by multifactorial pathogenesis involving dysregulated immune responses. It has been associated with an elevated risk of various cancers, notably cervical cancer (CC), one of the most common cancers in women globally. Despite this association, the molecular mechanisms linking SLE and CC remain incompletely defined. To investigate this intersection, we employed integrative bioinformatics approaches to analyze transcriptomic datasets relevant to both SLE and CC, including GSE112087, GSE154851, GSE46907, GSE49454, GSE50772, GSE63514, GSE64217, GSE63678, GSE7803, and GSE9750 . We performed differential gene expression analysis, constructed Protein-Protein Interaction (PPI) networks, and carried out functional annotation to pinpoint pivotal hub genes and signaling pathways implicated in both diseases. Our analysis revealed significant differentially expressed genes (DEGs) in SLE, predominantly associated with cytokine and interferon alpha/beta signaling pathways, as well as the innate immune response. Notable hub genes included MX1, ISG15, and STAT1. In CC, DEGs were chiefly enriched in the mitotic cell cycle and cytokine signaling processes, with CDK1 and DLGAP5 standing out as key hub genes. The cross-disease analysis identified shared DEGs between SLE and CC, particularly in the interferon-alpha/beta and cytokine signaling pathways. This suggests a shared molecular architecture that underlies both autoimmune and cancer pathogenesis. Our study underscores the common molecular pathways between SLE and CC, highlighting the significance of interferon and cytokine signaling in the pathogenesis of both diseases. These insights set the stage for future research into potential therapeutic targets for the treatment of both SLE and CC.

PMID 42177067
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PubMedEuropean archives of psychiatry and clinical neuroscience2026-05-24

Altered long-range temporal correlations in delta oscillatory amplitude dynamics in gambling disorder.

Xue Chao C, Zhong Gangliang G, Chen Tianzhen T, Wei Yicheng Y et al.

Understanding the neural oscillations underlying gambling disorder (GD) is essential for developing effective prevention and treatment strategies. While the spatial coordination of neural activity in GD patients has been extensively studied, the temporal dynamics of neural activity have not yet been investigated. In this study, we aim to investigate the long-range temporal correlations (LRTC) of the instantaneous amplitude of resting-state Electroencephalography (EEG) in GD patients. EEG activity was recorded during eyes-closed wakeful rest in 87 patients with GD and 40 age-, gender-, and education-matched healthy controls. LRTC in amplitude fluctuations was quantified using detrended fluctuation analysis (DFA) to estimate Hurst exponents across delta (1-4 Hz), theta (4-8 Hz), alpha (8-13 Hz), beta (13-30 Hz), and gamma (30-45 Hz) frequency bands. Participants also completed measures of impulsivity and gambling severity. Group differences were assessed using parametric or non-parametric statistical tests, depending on data distribution. Compared with healthy controls, the GD group exhibited significantly higher LRTC in the delta band over middle-frontal and parietal regions (p < .001, rank-biserial correlation = 0.44), whereas no significant group differences were observed in the theta, alpha, beta, or gamma bands. Additionally, GD participants also showed higher scores on the "motor impulsivity" construct of impulsivity (p < .001, Cohen's d = 1.35), which was positively associated with higher LRTC in the delta band in the GD group (p = .034). These increased LRTC in the delta band effectively differentiated individuals with GD from healthy controls (p < .001). We identified disrupted temporal correlations in the brain networks of GD patients, suggesting that elevated delta-band LRTC may represent a candidate electrophysiological marker warranting further replication and longitudinal validation.

PMID 42176233
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