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Ypeginterferon alpha-2b (PegBeron)

✓ Approved

Xiamen Amoytop Biotech Co.ltd · 重组蛋白 · 重组蛋白

什么是 Ypeginterferon alpha-2b?

Ypeginterferon alpha-2b 是一种重组蛋白,由Xiamen Amoytop Biotech Co.ltd研发。该药已获批,用于治疗相关适应症,给药途径:Injectable (Others)、Subcutaneous Injection。

药物档案

商品名PegBeron
公司Xiamen Amoytop Biotech Co.ltd
药物类别重组蛋白
给药途径Injectable (Others), Subcutaneous Injection
状态Approved

治疗适应症

Ypeginterferon alpha-2b 针对 3 个适应症,涉及 2 个治疗领域。

治疗领域疾病/病症分期
Infections and infestationsHepatitis B✓ Approved
Infections and infestationsHepatitis C✓ Approved
Neoplasms benign, malignant and unspecified (incl cysts and polyps)Essential thrombocythaemiaPhase II

相关研究文献

PubMedBiology direct2026-06-13

Rosavin alleviates COPD via inhibition of IL-17-enriched NET formation and NF-κB signaling.

Xiao Guanhua G, Li Jing J, Yuan Lu L, Huang Wenqi W et al.

Chronic obstructive pulmonary disease (COPD) is the third leading cause of death worldwide and is characterized by persistent inflammation, microbiota dysbiosis, and excessive neutrophil extracellular trap (NET) formation. Rosavin, a natural phenylpropanoid glycoside, exhibits anti-inflammatory and immunomodulatory activities, but its therapeutic potential in COPD remains unclear. A COPD rat model was induced by intratracheal lipopolysaccharide instillation combined with chronic passive cigarette smoke exposure. Rosavin (50 or 100 mg/kg) or the NF-κB inhibitor BAY 11-7082 (3 mg/kg) was administered for treatment. Pulmonary function tests (FEV1/FVC, PEF, and airway resistance), histopathological evaluation (HE and PAS staining), bronchoalveolar lavage fluid (BALF) inflammatory cell counts, ELISA-based cytokine assays, and oxidative stress markers (MDA, MPO, and SOD) were systematically assessed. NET formation was evaluated using MPO-DNA ELISA, Western blotting, and immunofluorescence for CitH3 and MPO/IL-17 colocalization. In addition, lung microbiota composition was analyzed by 16 S rRNA gene sequencing. Cigarette smoke extract (CSE)-stimulated BEAS-2B cells were used to assess the direct effects of Rosavin on NF-κB activation in vitro. Rosavin significantly inhibited NF-κB activation, improved lung function, and reduced structural damage, oxidative stress, and inflammatory cytokines in COPD rats. It also suppressed NET formation, including IL-17-enriched NETs, by downregulating MPO, NE, and CitH3. In BEAS-2B cells, Rosavin similarly reduced CSE-induced NF-κB activation and cytokine release. Microbiota profiling showed decreased diversity and enrichment of Fusobacterium nucleatum in COPD rats, whereas Rosavin restored beneficial taxa such as Lactobacillus spp. BAY 11-7082 produced comparable effects, supporting NF-κB inhibition as a key mechanism. Rosavin ameliorates COPD-associated pathology through integrated mechanisms involving NF-κB inhibition, reduction of IL-17-enriched NET formation, and modulation of lung microbiota composition. These findings identify Rosavin as a promising multi-target therapeutic candidate for COPD.

PMID 42286620
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PubMedThe Journal of biological chemistry2026-06-13

Structural insights into histone mimicry by the small hepatitis delta antigen.

Hu Haiyun H, Lv Mengjiao M, Wang Xiaohui X, Shang Xinci X et al.

Hepatitis delta virus (HDV) is a satellite RNA virus that requires hepatitis B virus (HBV) for propagation but replicates its genome independently in the nucleus. The small form of the hepatitis delta antigen (S-HDAg) is essential for replication and is regulated by post-translational modifications. Acetylation at lysine 72 (K72ac) enables S-HDAg to interact with the bromodomain (BRD) of the host chromatin remodeler bromodomain adjacent to zinc finger domain protein 2B (BAZ2B) to promote viral replication. However, the structural basis for this interaction has remained elusive. Here, we provide structural and biophysical insights into this interaction through quantitative binding assays and X-ray crystallography. Isothermal titration calorimetry revealed that BRDs of BAZ2B and its close homolog BAZ2A bind to the viral peptide weakly, with BAZ2A-BRD exhibiting a modestly higher affinity. The crystal structure of BAZ2A-BRD in complex with the S-HDAg-K72ac peptide demonstrates an inverted binding orientation relative to canonical histone ligands, rationalizing the weak interaction. Mutagenesis studies confirmed the critical binding interface both in vitro and in cells. These findings elucidate the molecular mechanism by which HDV co-opts host BAZ2 bromodomains via a unique, weak-affinity interaction, providing a structural framework for understanding viral replication.

PMID 42285512
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PubMedCeska a slovenska oftalmologie : casopis Ceske oftalmologicke spolecnosti a Slovenske oftalmologicke spolecnosti2026-06-13

Association of Aqueous Humor Tumor Necrosis Factor Alpha with Retinal Ganglion Cell Thickness in Juvenile versus Adult-Onset Primary Open-Angle Glaucoma.

Ilahi Fitratul F, Fitrah Fitrah F, Haq Nazhiful Kalaj NK, Alfatih Muhammad M et al.

To evaluate the association between aqueous humor tumor necrosis factor alpha (TNF-α) and retinal ganglion cell (RGC) layer in patients with juvenile open-angle glaucoma (JOAG) and their comparison with adult-onset primary open-angle glaucoma patients (POAG). This analytical cross-sectional study included 15 JOAG patients (aged 7-40 years) and 15 POAG patients (> 40 years). Aqueous Humor (AH) samples were collected during trabeculectomy, TNF-α concentrations were measured using ELISA, and RGC thickness was assessed by Optical Coherence Tomography (Cirrus HD-OCT, Carl Zeiss). Group differences were analyzed using the independent t-test, and correlations were evaluated with Pearson's test. The mean AH TNF-α level in the JOAG group (179.02 ±27.04 pg/mL) was significantly higher than in the POAG group (130.17 ±18.62 pg/mL; p.

PMID 42285746
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PubMedNeuroImage2026-06-13

Spatial generalization of peripherally encoded memories emerges before selection for report.

Kandemir G G, Olivers C N L CNL

Visual working memory has been shown to transition from location-specific to spatially generalized representations. It remains unclear what the time course of this generalization is and to which information processing stages and signals it is linked. Here we used EEG to investigate spatial generalisation of peripherally encoded stimuli before and after an item was selected for report. Thirty healthy participants memorized two orientations presented serially at fifteen degrees eccentricity to the left and right of central fixation. One of the two items was subsequently cued as task-relevant. During the delays, impulse signals were inserted to trace memoranda in potentially activity-reduced states. We observed that prior to the cue, patterns of activity transitioned from location-specific to spatially generalized states approximately 400-600 ms after onset in broadband voltage but not in oscillatory alpha signals. The picture was more mixed after the selection cue, with some evidence for both locations-specific and spatially generalized codes in alpha and broadband data. We conclude that the first stages of spatial generalization occur at sensory, pre-report levels of processing, while late stages are associated with selecting response-relevant spatial features.

PMID 42285448
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PubMedBritish journal of cancer2026-06-13

Fecal immunochemical tests from population-based colorectal cancer screening programs support prospective microbiome cohorts.

Byrd Doratha A DA, Zouiouich Sémi S, Wahl David D, Pardini Barbara B et al.

Large, prospective cohorts are needed to research the gut microbiome's role in colorectal cancer (CRC) risk. We evaluated the gut microbiome leveraging residual fecal immunochemical tests (FIT) from a CRC screening program in Turin, Italy, and conducted one of the largest population-based case-control studies across the adenoma-carcinoma sequence to date. We extracted DNA from residual FIT stool, used whole-genome shotgun sequencing, and included those with CRC (N = 44), advanced adenomas (N = 269), early adenomas (N = 134), and FIT-negative controls (N = 478). Alpha diversity, beta diversity, and species, gene, and pathway relative abundances were estimated. Multivariable logistic regression models were used to estimate associations of these metrics with colorectal neoplasms. Alpha diversity was mostly inversely associated with colorectal neoplasms, particularly early adenomas (OR: 0.45, 95% CI: 0.25-0.80; P = 0.01). Presence of oral pathogens, including Parvimonas micra, was associated with higher odds of CRC. Furthermore, Escherichia coli and Bacteroides fragilis were strongly associated with higher odds of all colorectal neoplasms. Several genes and pathways were associated with colorectal neoplasms. Our findings align with smaller studies of the gut microbiome and colorectal neoplasms, supporting that CRC screening programs provide opportunities to prospectively study the gut microbiome's association with cancer risk in large populations.

PMID 42286232
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PubMedGut pathogens2026-06-13

Integrated analysis of gastric microbiome and clinical features for the diagnosis of gastric neoplasms.

Kang Donghoon D, Shin Youngjin Y, Cho Yu Kyung YK, Park Jae Myung JM et al.

Gastric cancer (GC) progression is closely associated with microbial dysbiosis. However, microbial alterations in the intermediate stage of gastric adenoma (GA) remain under-characterized. This study investigated stage-specific microbiome changes and evaluated predictive models integrating microbial and clinical features. We analyzed 231 subjects (129 GA, 73 GC, 29 healthy controls [HC]) using 16 S ribosomal DNA sequencing of paired oral, non-lesional gastric mucosa (GM), and gastric lesion (GL) samples. Random Forest models were constructed using microbial genera and clinical features, validated via leave-one-out cross-validation. Stepwise microbial dysbiosis was observed during GC progression. Alpha diversity was significantly lower in GC-GL than in HC-GM and GA-GL. Helicobacter pylori infection was associated with reduced alpha diversity in GL samples. Genera such as Streptococcus, Neisseria, and Haemophilus were enriched in GC-GL, while Phocaeicola, Faecalibacterium, and Bifidobacterium were depleted. A gastric neoplasm prediction model incorporating 33 microbial genera and six clinical variables (age, sex, BMI, hypertension, smoking, and atrophy) demonstrated superior predictive performance (AUC = 0.830) in distinguishing gastric neoplasms from HCs, compared to models using either microbial genera (AUC = 0.790) or clinical variables (AUC = 0.715) alone. The combined model also accurately distinguished between GA and GC (AUC = 0.807). The gastric microbiome profile changes dynamically during GC progression, highlighting its potential role in tumor development. Integrating microbial signatures with clinical features enables robust classification of gastric neoplasms and may serve as a valuable adjunctive tool for diagnosis and risk stratification in endoscopic practice.

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