Drug Database
RA

rabies vaccine

✓ Approved

China National Biotec Group · 疫苗 · 疫苗

什么是 rabies vaccine?

rabies vaccine 是一种疫苗,由China National Biotec Group研发。该药已获批,用于治疗相关适应症,给药途径:Injectable (Others)、Intramuscular (IM) Injection。

药物档案

公司China National Biotec Group
药物类别疫苗
给药途径Injectable (Others), Intramuscular (IM) Injection
状态Approved

治疗适应症

rabies vaccine 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
Infections and infestationsRabies✓ Approved

相关研究文献

PubMedBiotechnology journal2026-09-11

Metabolic Footprint of Drosophila S2 Cells: Findings During the Production of a Recombinant Rabies Virus Glycoprotein.

Decarli Monize Caiado MC, Dos Santos Diogo Peres DP, Correia Daniela Matilde DM, de Azevedo Amadeus Gomes AG et al.

Over the past 50 years, the Drosophila melanogaster S2 cells have been valued for their ability to synthesize therapeutic molecules at high yield. To further increase protein expression, it is imperative to improve cellular performance, which is intrinsically linked to cell metabolism. Nevertheless, information on S2 metabolism, including pathways, components, and cellular compartments, remains limited, hindering advances in S2 cellular performance. Herein, using a genetically modified S2 cell line expressing the recombinant rabies virus glycoprotein (RVGP), we investigated the stress caused by RVGP production on S2 cells. Batch cultures using wild- and rec-types were performed, and 27 compounds were quantified over 192 h. The extracellular metabolome affected the rec-S2 growth kinetics after RVGP expression was activated. Although RVGP was produced in high amounts, we identified a substrate limitation for rec-S2 cell growth (glutamine), changes in amino acid routes due to RVGP biosynthesis (leucine, serine, glycine, and valine), and metabolites that might be affecting rec-S2 cell growth (acetate, pyruvate, citrate, and malate). Organic acid analysis indicated that malate and acetate production are correlated with RVGP production. This work revealed metabolic correlations in S2 cells that may have direct implications for media optimization and yield maximization, thereby improving S2 performance for scale-up.

PMID 42723328
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PubMedTherapeutic advances in vaccines and immunotherapy2026-09-11

Therapeutic melanoma vaccines: Platforms, neoantigen strategies, and emerging combination immunotherapies.

Mhanna Daniel D, Salman Bilal B, El Hakim Rawad R, Aridi Lea L et al.

Melanoma has emerged as a major focus of cancer immunotherapy research because of its highly immunogenic nature and responsiveness to immune-based treatments. Therapeutic melanoma vaccines are designed to stimulate tumor-specific immune responses through the delivery of Tumor-Associated Antigens (TAAs), Tumor-Specific Antigens (TSAs), and personalized neoantigens. This narrative review provides an overview of current melanoma vaccine strategies, including peptide-based vaccines, dendritic cell vaccines, nucleic acid-based platforms such as mRNA, DNA, and viral vector vaccines. Recent advances in vaccine engineering and tumor genomics have accelerated the development of personalized neoantigen vaccines capable of targeting mutations unique to individual tumors. In parallel, Artificial Intelligence (AI) and Machine Learning (ML) are increasingly being incorporated into neoantigen identification pipelines to improve epitope prediction and optimize vaccine design. Combination strategies involving Immune Checkpoint Inhibitors (ICIs), particularly anti-PD-1 and anti-CTLA-4 therapies, have further enhanced interest in melanoma vaccines by helping overcome tumor-induced immune suppression and augment T-cell activation. In addition to reviewing vaccine mechanisms and emerging technologies, this manuscript examines the evolving clinical trial landscape through analysis of melanoma vaccine studies registered on ClinicalTrials.gov. Although many studies have reported encouraging safety and immunogenicity findings, challenges related to tumor heterogeneity, immune evasion, biomarker selection, and manufacturing complexity continue to limit widespread clinical implementation. Ongoing advances in computational immunology, biomaterial engineering, and precision oncology are expected to further refine melanoma vaccine development and improve therapeutic efficacy. Collectively, these innovations may help establish melanoma vaccines as an increasingly important component of future personalized cancer immunotherapy strategies.

PMID 42724148
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PubMedThe New phytologist2026-09-11

Santosh B. Satbhai.

Santosh B. Satbhai, Indian Institute of Science Education and Research (IISER) Mohali (India).

PMID 42722984
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PubMedNature biotechnology2026-09-11

Moderna flu vaccine wins FDA approval.

PMID 42722817
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PubMedFrontiers in medicine2026-09-11

Impact of COVID-19 on corneal endothelial density and morphology: a cross-sectional study in convalescent patients.

Zhang Ling L, Shi Wenjian W, Guo Xiumei X, Lv Runhua R et al.

This study aimed to investigate the effect of COVID-19 infection on corneal endothelial cell density and morphology, and to analyze the related factors. This cross-sectional study included patients who underwent corneal endothelial examination at our institute from August 2022 to May 2023. Patients were categorized into COVID-19 recovery group and non-COVID-19-infection group according to their SARS-CoV-2 infection history. Endothelial cell density (ECD), s tandard deviation of cell area (SD-Area), average cell area (ACA), and hexagonal cell percentage (HEX), among others, were compared between the two groups. To account for confounding factors, univariate analysis assessed the relationship between COVID-19 infection, demographics, medical history, and corneal endothelial cell characteristics. Subsequently, multiple linear regression pinpointed independent factors linked to cell density and morphology. Three hundred seventy-eight patients recovering from COVID-19 and 382 individuals without a history of COVID-19 infection were included in the study. Analysis of corneal endothelial parameters demonstrated a statistically significant decrease in ECD (p < 0.001) and HEX (p = 0.005) in the COVID-19 recovery group compared to the non-COVID-19 infection group. Additionally, higher SD-Area (p < 0.001), increased ACA (p < 0.001), and greater MAX (p < 0.001) were observed in the COVID-19 recovery group. Multiple linear regression analysis suggested that COVID-19 infection history and advanced age were independent factors associated with decreased corneal endothelial density and irregular morphology. A history of COVID-19 infection was found to be significantly associated with decreased corneal endothelial cell density and altered morphology in convalescent patients. While these findings suggest potential long-term ocular surface implications, further prospective studies with pre-infection baselines are warranted to establish causality and to define specific, evidence-based guidelines for perioperative corneal endothelial protection in this population.

PMID 42724203
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PubMedFrontiers in public health2026-09-11

Breaking barriers in health surveillance: privacy-preserving techniques for tracking vaccine hesitancy and disease outbreaks in Pakistan.

Shahid Muhammad Imran MI, Wanqu Han H, Shah Faiza F, Ai Kunpeng K

Precise measurement of sensitive public health outcomes is often limited by underreporting, stigma, and social desirability bias. These challenges can affect estimates of COVID-19 infection and vaccine hesitancy, leading to incomplete evidence for surveillance and public health decision-making. This study examined the use of privacy-preserving stratified randomized response models (SRRMs) to improve the estimation of sensitive health information in a population-based setting. We conducted a cross-sectional quantitative survey in Punjab, Pakistan, during June-August 2021. A total of 1,200 participants were recruited using simple random sampling with replacement within a stratified design, with equal allocation to urban (n = 600) and rural (n = 600) populations. Privacy-preserving SRRM-I and SRRM-II procedures were applied to estimate underreported outbreak cases and vaccine hesitancy while reducing response bias related to confidentiality concerns. Estimates were compared with directly reported responses, and precision was assessed using the percentage relative efficiency (PRE). The empirical estimates reflect the June-August 2021 survey period in Punjab, Pakistan. Estimated outbreak prevalence was higher than directly reported prevalence in both urban and rural populations, indicating underreporting of infection. In urban areas, directly reported COVID-19 cases (10.5%) were lower than privacy-preserving estimates obtained using SRRM-I and SRRM-II (15.3% and 17.4%). In rural areas, directly reported cases (13.7%) were also lower than the corresponding estimates (16.7% and 19.5%). Vaccine hesitancy estimates were also higher under the privacy-preserving procedures (26.3% reported vs. 27.4% and 27.2%), although the difference was considerably smaller than for outbreak cases. All PRE values exceeded 100, indicating improved efficiency relative to the benchmark models. These findings suggest that conventional self-reporting underestimates sensitive public health outcomes, particularly where disclosure concerns are present. Privacy-preserving SRRM frameworks can improve the estimation of sensitive public health outcomes, including outbreak underreporting and vaccine hesitancy. The advantage of the two-stage design was most pronounced for the more sensitive outcome, indicating that the truthful-reporting parameter should be matched to the perceived sensitivity of the outcome under study. In settings where respondents are reluctant to disclose health-related information, such methods can strengthen surveillance data quality and support more reliable public health planning and policy decisions.

PMID 42723770
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