Current Pharmaceutical Biotechnology - Online First
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Towards Pharmaceutical Industry 5.0: Impact of Artificial Intelligence in Drug Discovery and Development
Available online: 03 November 2025More LessThe pharmaceutical industry is transforming with the advent of Industry 5.0, which is marked by integrating artificial intelligence (AI) into drug discovery and development. AI technologies, such as machine learning, deep learning, and natural language processing, revolutionize the traditional drug development pipeline by accelerating the identification of novel drug candidates, optimizing clinical trial designs, and personalizing therapies. Moreover, AI models enhance the prediction of drug efficacy, toxicity, and patient responses, minimizing the risk of failure of clinical trials. Nevertheless, despite these advancements, challenges remain in integrating AI into the pharmaceutical workflow, including data quality, regulatory concerns, and the need for interdisciplinary collaboration. This review explores the current state of AI applications in drug discovery, drug formulation and optimization, pharmacokinetics and pharmacodynamics, drug manufacturing and quality control, regulatory compliance and pharmacovigilance. Overall, AI is poised to redefine the landscape of drug discovery and development, fostering a new era of precision medicine and transforming patient outcomes globally, especially in the era of Industry 5.0.
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Analysis of the Molecular Mechanism of Comorbidity Genes Between Breast Cancer and Depression
Authors: Hua Xie, Chenxiang Ding, Qianwen Li, Jie Xu, Wei Sheng, Renjian Feng and Huaidong ChengAvailable online: 17 October 2025More LessIntroductionBreast cancer and depression are both serious diseases that significantly impact women's physical health. The molecular mechanisms underlying their comorbidity remain elusive. This study aims to identify key genes and the molecular mechanisms associated with the comorbidity of breast cancer and depression using bioinformatics analysis methods.
MethodsData files for breast cancer and depression were obtained from the TCGA database and the NCBI GEO public database, respectively. The random survival forest algorithm was utilized to identify key genes co-expressed in both breast cancer and depression. Gene Set Variation Analysis (GSVA) and Gene Set Enrichment Analysis (GSEA) were employed to predict biological functions and signaling pathway differences influenced by these key genes in both diseases. The R package “RcisTarget” was utilized to predict molecular transcriptional regulatory relationships of the key genes. The CIBERSORT algorithm was applied for immune function correlation analysis of comorbid key genes. The differential expression of key genes was validated in breast cancer tissue and depression blood by qPCR.
ResultsThe TCGA database provided original mRNA expression data for breast cancer, while the NCBI GEO public database offered the dataset GSE58430 related to depression. Through functional enrichment and random survival forest analysis, CCNB1, MLPH, PSME1, and RACGAP1 were identified as four key genes. The specific signaling pathways、strong correlation with immune cells, and the potential molecular mechanisms of these four key genes were analyzed in breast cancer and depression. Their expression levels were verified in blood and tissue samples.
DiscussionThis study discovered the comorbidity genes of breast cancer and depression, providing a certain direction for the prevention and treatment of these two diseases. At present, breast cancer and depression are serious diseases that affect women's physical and mental health. The connection between the two is not very clear. This study proposes that these two diseases have comorbidity genes. The risk population of the disease can be detected early through testing, so as to intervene early and improve prognosis. However, the sample size of the database analyzed in this study was relatively small, and the sample size and methods for clinical validation were insufficient. Further in-depth research will be conducted in the future.
ConclusionThis study identified CCNB1, MLPH, PSME1, and RACGAP1 as key genes associated with the comorbidity of breast cancer and depression.
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Clinicopathological and Molecular Comparative Analysis of Hereditary vs. Sporadic Fumarate Hydratase-deficient Leiomyomatosis and Renal Carcinoma
Authors: Qi Chen, Pairidaguli Naibijiang, Yuanjing Hu, Qiuyue Du and Nuermaimaiti KuyaxikeziAvailable online: 17 October 2025More LessIntroductionFLRCC is a rare renal carcinoma subtype caused by FH mutations, categorized into hereditary (germline mutations) and sporadic (somatic mutations) forms. These forms are clinically and pathologically similar, complicating differentiation without genetic testing. The aim of this study is to investigate the clinicopathological and molecular genetic differences between hereditary and sporadic fumarate hydratase (FH)-deficient leiomyomatosis and renal cell carcinoma (FLRCC) to improve diagnostic accuracy and clinical management.
MethodA retrospective analysis of 14 FLRCC patients was conducted(May 2020-August 2023). Immunohistochemistry (FH, 2SC, p16), HE staining, and next-generation sequencing (NGS) of tumor tissues and blood leukocytes were performed.
ResultsThe 14 patients with FH-deficient leiomyoma were 25-54 years old, with a mean age of 36.21 ± 8.16. 78.5% (11/14) had clinical symptoms and multiple, large-sized fibroids (median maximum volume was 75 mm). Patients with leiomyoma and FH deficiency were divided into hereditary and sporadic FLRCC based on FH gene sequencing. Patients with HLRCC had an earlier onset, and the serum tumor marker CA125 was more significant. Moreover, tumor tissues from patients with hereditary and sporadic FH-deficient LRCC differed in immunohistochemical and HE staining characteristics, including more positive p16 and greater susceptibility to invasion and metastasis in patients with HLRCC, as well as malignant proliferation in patients with sporadic FH-deficient LRCC.
DiscussionAlthough limited by sample size, our preliminary findings indicated subtle differences in the age of onset, as well as immunohistochemical and histopathological features of hereditary and sporadic FH-deficient LRCC, facilitating the understanding and clinical diagnosis of FLRCC.
ConclusionIn clinical diagnosis, all information should be fully integrated, and a comprehensive judgment should be made to make a correct pathological diagnosis and provide targeted treatment for patients with an FH gene mutation.
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Discoidin Domain Receptor 1 in Colonic Epithelial Cells: A Paracrine Driver of Colonic Fibrosis
Authors: Hang Gong, Xiao-Li Li, Yao-Hui Ma and De-Kui ZhangAvailable online: 08 October 2025More LessIntroductionThis study investigated the role and potential mechanisms of discoidin domain receptor 1 (DDR1) in colon fibrogenesis.
MethodsWe employed the DSS-induced chronic colitis and fibrosis model to evaluate the therapeutic potential of DDR1 knockout on colonic fibrosis. In vitro experiments involved generating human normal colonic epithelial cells (HIEC line) with DDR1 overexpression by lentivirus transfection. Human colonic fibroblasts were exposed to conditioned medium (CM) from the stably transfected cells that had been treated with transforming growth factor-beta 1 (TGF-β1). The cells were collected for molecular and biochemical analyses.
ResultsOur proteomics analysis of DDR1 indicated significant enrichment of proteins involved in the extracellular matrix and fibrosis. In DSS-treated DDR1-KO mice, attenuation of colonic fibrosis and reduced activation of colonic fibroblasts were observed, contrasting significantly with their counterparts in DSS-treated WT mice. Colonic fibroblasts exhibited a marked increase in α-smooth muscle actin and type I collagen expression when exposed to CM from HIEC cells with DDR1 overexpression. Finally, overexpression of DDR1 markedly elevated the levels of p-PI3K, p-Akt, p-mTOR, p62, and LC3B in HIEC cells, resulting in enhanced secretion of TGF-β1.
DiscussionDDR1 in HIEC cells attenuates autophagy primarily by activating the PI3K/AKT/ mTOR signaling axis and concurrently increasing the autophagic markers LC3B and p62, thereby inducing paracrine secretion of TGF-β1, which drives the activation and proliferation of colonic fibroblasts and elicits a robust profibrotic response.
ConclusionOur study suggests that DDR1 may be a potential therapeutic target for colonic fibrosis.
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Evaluating the Protective Immunity of 5’-Cap Altered Rabies mRNA Vaccines in a Mouse Model
Authors: Teng Zhang and Wen ZhangAvailable online: 30 September 2025More LessIntroductionRabies Virus (RV or RABV) is a neurophilic pathogen predominantly transmitted to humans through bites, scratches, or wounds. Upon entering the central nervous system, the virus can cause severe symptoms, including acute encephalitis and paralysis, ultimately leading to death with an almost 100% mortality rate. Hence, it is essential to develop an effective oral rabies vaccine.
MethodsWe designed and synthesized three modified 5'-cap mRNA vaccines (RV-01(CAP-01), RV-01(CAP-02) and RV-01(CAP-03)) encoding rabies virus glycoproteins in vitro and evaluated their immunogenicity and protective effect in mice.
ResultsThe modified 5'-cap vaccine was successfully constructed and could be effectively expressed in HEK293 cells. The antibody detection results revealed the abundance of RABV-G in RV-01(CAP-01), RV-01(CAP-02) and RV-01(CAP-03). ELISPOT assays indicated that these variants promoted the production of immune-related cytokines. Furthermore, the modified 5'-cap vaccines could reduce the rabies viral load of mice and effectively prolong their survival.
DiscussionThe rabies mRNA vaccine had high efficacy and safety in preventing rabies, suggesting the great potential of mRNA as a promising candidate for RABV vaccines. However, the potential causes of the differences in the performance of the three modified 5'-cap rabies mRNA vaccines and the clinical application of 5’-Cap altered rabies mRNA vaccines need to be explored.
ConclusionHence, these results demonstrated that the modified 5’-cap mRNA vaccine was effective in inducing immune responses, which might be considered a promising prophylactic strategy for rabies.
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Understanding Antimicrobial Resistance: From Mechanisms to Public Health Implications
Available online: 12 September 2025More LessAntimicrobial resistance (AMR) is a global public health crisis driven by the overuse and misuse of antibiotics, inadequate infection control practices, and the evolution of microbes. It compromises the effective treatment of infections, posing severe implications for morbidity, mortality, and healthcare costs. Pathogens such as extended-spectrum β-lactamase (ESBL)-producing Escherichia coli and methicillin-resistant Staphylococcus aureus (MRSA) exemplify the growing threat of drug-resistant organisms. This review provides an in-depth analysis of the mechanisms underlying AMR, including enzymatic drug inactivation, efflux pump overexpression, target site modification, and biofilm formation. Additionally, it examines the clinical and economic implications of AMR and assesses emerging strategies for mitigation. Innovative solutions, such as bacteriophage therapy, CRISPR-based genome editing, and the One Health approach, offer promising avenues to address resistance across the human, animal, and environmental health sectors. Coordinated global efforts in surveillance, stewardship, and research are essential to curbing the spread and impact of AMR.
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The Role of Pioglitazone as a Ferroptosis Inhibitor in Mitigating Radiation-induced Damage in Testicular Tissue of Mice
Available online: 29 August 2025More LessIntroductionRadiation targets cancer but risks causing infertility by damaging sensitive testes, especially spermatogonia. This study investigates IR-induced testicular damage and assesses PGZ's potential protective role as a ferroptosis inhibitor.
Material & MethodsIn this study, Seventy-two BALB/c mice were randomly divided into eight groups: a control, PGZ (10, 20, and 30 mg/kg), IR (8 Gy), and IR+ PGZ (in three doses). PGZ was administered for 10 consecutive days, and mice were exposed to IR on the 11th day of the study. 24 h after RT, the mice's testis tissue was subjected to a series of evaluations to assess oxidative stress and antioxidant parameters, with histopathological analyses conducted one week after IR.
ResultsBiochemical analyses revealed that exposure to IR significantly increased ferroptosis markers, while concurrently decreasing intracellular antioxidants GSH. Histological examinations confirmed damage to spermatogenic cells, leading to detachment from the basement membrane and reduced sperm counts. Pre-treatment with PGZ at 30 mg/kg effectively reduced the levels of oxidative stress markers and improved antioxidant levels, demonstrating its potential protective effects against ferroptosis.
DiscussionThe results suggest PGZ can protect against radiation-induced testicular damage by inhibiting ferroptosis and promoting spermatogenesis recovery.
ConclusionThese results indicate that PGZ may act as a protective agent against radiation-induced testicular damage and support the recovery of spermatogenesis following IR exposure. Further research is warranted to explore the molecular mechanisms of PGZ's protective effects.
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Research Progress on the Effects of Anthocyanins on Cognitive Function and Their Underlying Mechanisms
Authors: Wen-huan Dong, Ting Wang, Zi-ping Wang, Xin Wen, Qi-qi Huang and Zhang-e XiongAvailable online: 28 August 2025More LessintroductionThis review aims to systematically investigate the existing research on the effects of anthocyanins on cognitive functions and their underlying mechanisms involved. It provides detailed insights into their development and potential applications.
MethodAn extensive review and analysis of various animal experiments and human studies were performed using databases, such as Web of Science, Sci-Hub, EI, ScienceDirect, and PubMed. The keywords, titles, or abstracts searched included, but were not limited to, 'Anthocyanin', 'Cognition', 'Anti-inflammatory', 'Antioxidation', 'Autophagy', and 'Insulin resistance'. The search was conducted covering the period from January 2017 to November 2025. Our aim was to summarize the evidence concerning the impact of anthocyanins on cognitive functions and to explore their underlying mechanisms. We analyzed these mechanisms in terms of antioxidant activity, reduction of neuroinflammation, regulation of autophagy-related pathways, and central insulin sensitivity.
ResultA substantial body of research has indicated that anthocyanins exert beneficial effects on cognitive function. In models exhibiting cognitive impairment, supplementation with anthocyanins has been shown to significantly improve cognitive capabilities. The underlying mechanisms of action are primarily attributed to the following factors: the strong antioxidant properties of anthocyanins, which effectively neutralize free radicals in the brain, thereby diminishing oxidative stress and protecting neuronal integrity and functionality; the inhibition of neuroinflammatory responses, which alleviates the detrimental impact of inflammatory agents on neural tissues and contributes to the maintenance of the brain's homeostatic environment; and the regulation of autophagy-related pathways and central insulin sensitivity, which collectively reduce damage to proteins linked to cognitive function and enhance learning and memory processes.
DiscussionAs the global population ages rapidly and the prevalence of cognitive decline-related diseases, like Alzheimer's, increases, there is a pressing need to create medications that can improve cognitive abilities. Researchers are paying close attention to anthocyanins, natural substances found in plants such as blueberries and purple grapes, due to their significant potential to influence cognitive functions. Nonetheless, further clinical trials are necessary to validate the appropriate dosage and bioavailability of anthocyanins, and certain limitations must be acknowledged.
ConclusionIn the present study, it was found that anthocyanins can improve cognitive impairment in both humans and animals. Their mechanisms of action primarily involve anti-inflammatory effects, antioxidant activity, modulation of autophagy, and the reduction of central insulin resistance. This research lays the groundwork for future studies on the role of anthocyanins in cognitive function.
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Taxifolin: Approaches to Increase Water Solubility and Bioavailability
Authors: Mark B. Plotnikov and Anna M. AnishchenkoAvailable online: 08 August 2025More LessTaxifolin (TAX) (5,7,3',4'-tetrahydroxyflavanol, dihydroquercetin) belongs to the flavonoid family. TAX elicits a wide range of pharmacological effects, and for this reason, it is of high commercial interest as a flavonoid. The widespread use of TAX in medical practice is limited by the physicochemical properties of the compound and, in part, the related features of its pharmacokinetics: absorption, distribution, metabolism, and excretion. The purpose of this review is to provide an overview of technological methods that can be utilized to enhance the solubility of TAX, potentially increasing its bioavailability. The review describes various technological approaches: micronization, crystal engineering, self-microemulsifying systems, liposomes and their modifications, microemulsifying systems, phospholipid nanoparticles, inclusion complexes (clathrate generation), and chemical modification. Most of the approaches described in the review for improving the solubility and bioavailability of TAX have proven to be successful. Nanotechnologies are the most efficient means for improving the solubility and bioavailability of TAX. Developing new TAX substances with improved solubility and bioavailability holds promise as a basis for the development of innovative drugs.
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Critical Processes for Stability Enhancement of Phyto-ingredients: A Comprehensive Review
Authors: Evren Algin Yapar, Merve Nur Özdemir and Thanchanok SirirakAvailable online: 08 August 2025More LessPlants contain valuable phytochemicals with biological activity. However, factors such as instability, poor solubility, and bioavailability limit their use in the food, cosmetics, and pharmaceutical industries. In this context, a wide variety of strategies have been developed with the objective of improving the stability of herbal sources and bioactive compounds under processing, storage, or gastrointestinal digestion conditions. Moreover, these strategies seek to enhance solubility, mask undesirable flavors, and facilitate targeted delivery to specific tissues, thereby enabling the bioactive compounds to exert their biological activity and contribute to improved human health. It is of great importance to conduct studies on the stability of herbal medicines to identify the various factors, physical, chemical, and environmental, which may affect their stability. Also, such studies are essential for determining the shelf life of the products and always ensuring their quality during storage and use. This review presents the strategies and latest advances utilized to improve the stability of pure plant bioactive compounds, extracts, and essential oils to overcome the previously mentioned challenges. The information presented will assist in the production of safe, stable, and effective substances and products. Furthermore, a comprehensive overview of the various applications of these compounds is provided, along with an analysis of emerging trends.
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Application of Mathematical Model in Basic Research and Product Manufacturing of Traditional Chinese Medicine
Authors: Nenghua Zhang, Xingying Chen, Simeng Li, Yaru Wang, Chuchu Shan, Jingmei Song and Yuyan ZhangAvailable online: 08 August 2025More LessIntroductionThe research on traditional Chinese medicine (TCM) has experienced the transition from qualitative research to quantitative study. The application of mathematical modeling for data processing and analysis offers a more efficient and precise approach compared to conventional methods, enabling the timely acquisition of key efficacy indicators for preliminary evaluation. Therefore, the concept of mathematical modeling has been proposed to form a systematic theoretical system of TCM and diseases.
MethodsThe article reviews the application of mathematical models in the research of traditional Chinese medicine in terms of compounding, extraction, optimization, quality evaluation, production, new drug development, pharmacokinetics, pharmacodynamics, and clinical symptom analysis. Relevant Chinese and English literature was obtained from PubMed, Cochrane Library, China Science and Technology Journal Database (VIP), Wanfang Data, CNKI and China Biomedical Literature Database (CBM).
ResultsWe have found that integrating the concept of mathematical modeling with TCM theory has shortened the cycle of extracting active ingredients in traditional Chinese medicine and the development of new drugs, while also accelerating the realization of maximum clinical efficacy.
DiscussionHowever, the comprehensiveness and precision of existing databases remain areas for improvement. In the future, further integration of multi-disciplinary technologies will be essential to advance the convergence of traditional medicine and modern science.
ConclusionThis review explores the application of mathematical models in the study of traditional Chinese medicine. It is evident that mathematical modeling has played a pivotal role in promoting fundamental research and the modernization of TCM.
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Integrating IoMT and Federated Learning for Advanced Healthcare Monitoring in Healthcare 5.0
Authors: Bassam Almogadwy and Abdulrahman AlqarafiAvailable online: 08 August 2025More LessIntroductionThe Internet of Medical Things (IoMT) has made it possible to create advanced health monitoring systems. It allows the system to detect problems early, thereby mitigating long-term effects. This development will likely enhance the quality of healthcare professionals by reducing their workload and healthcare costs. The IoT in medical technology offers a wide range of information technology capabilities, including intelligent and collaborative healthcare solutions. Aggregating health data in a single repository raises security, copyright, and compliance issues when building a complex machine-learning model.
MethodFederated learning overcomes the above challenges by dispersing a global learning model through a central aggregate server. It retains mastery of patient data in a local participant who ensures data privacy and integrity. This research aims to develop an advanced healthcare monitoring system utilizing federated learning techniques. The system is designed to enable healthcare providers to effectively track patient health through medical sensors and respond promptly when necessary.
ResultsThe federated learning-based XGBoost model achieved a predictive accuracy of 97.2% in diagnosing Parkinson’s disease. Additionally, the system demonstrated improved privacy preservation, significantly reducing sensitive data exposure with minimal computational overhead, confirming its practical effectiveness in clinical scenarios.
DiscussionBy leveraging federated learning, the proposed approach seeks to enhance the efficiency and effectiveness of health monitoring in clinical settings. To achieve accurate classification and early detection of Parkinson's disease, the study employs two key machine learning algorithms: Support Vector Machine (SVM) and Extreme Gradient Boosting (XGBoost). These methods were selected for their statistical robustness and suitability for the task at hand.
ConclusionThe combination of federated learning, SVM, and XGBoost enhances healthcare monitoring and ensures patient data privacy and integrity.
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The Effects of Rukangyin on the Biological Behavior and Hippo Signaling Pathway in MDA-MB-231 Breast Cancer Cells
Authors: Shi Qiu, Qinyu Han, Xian Zhao, Wenjing Li and Xiangqi LiAvailable online: 06 August 2025More LessIntroductionThis study aims to examine the impact of Rukangyin (RKY) and its components, LSQR and QTSS, on various cellular processes and signaling mechanisms in MDA-MB-231 triple-negative breast cancer (TNBC) cells.
MethodsTwenty-five Sprague-Dawley (SD) rats were randomly assigned to five groups according to the administered drugs, including the RKY group, LSQR group, QTSS group, fluorouracil group, and blank control group (n=5 in each group). The serum samples from each group were then used as a medicated medium for the culture of the TNBC cell line MDA-MB-231. Cell viability tests, apoptosis detection tests, and migration and invasion tests were used to evaluate the cytotoxicity of treated serum. YAP, TAZ, MST1, and LATS1 protein expression and phosphorylation were examined using conventional western blotting methods.
ResultsRKY and its QTSS and LSQR components significantly inhibited cell growth and promoted apoptosis in MDA-MB-231 cells. RKY also significantly blocked cell motility with a comparable effect to that of fluorouracil. All serum groups suppressed YAP and TAZ expressions while increasing p-YAP, p-TAZ, MST1, and LATS1 levels, with RKY showing superior efficacy.
DiscussionIn TNBC cells, RKY appears to enhance the tumor-suppressing signals of the Hippo signaling pathway via MST1, LATS1 activation, while restricting its pro-oncogenic action via YAP and TAZ blockade. However, in vivo and animal model experiments are required to confirm these findings.
ConclusionRKY-medicated serum effectively inhibits growth, induces apoptosis, and reduces motility in the MDA-MB-231 cell line of breast cancer. This therapeutic potential of RKY on TNBC cells draws attention to the need for more investigations.
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A Comprehensive Mini-Review on the Understanding of Electrotherapy for Pain Management: An Introduction to ABMMA-BMT
Authors: Praveen Mallari, Tracy Taulier and Mohammad Amjad KamalAvailable online: 04 August 2025More LessABMMA-BMT is a modality that combines innovative complementary and alternative medicine techniques with low-voltage electrical energy, applying it to acupuncture points and meridians to bridge traditional Chinese medicine with modern bioelectric science. This involves the application of microcurrents (10–1000 µA) at acupoints to assess and correct for disrupted energy flow, as determined by electrical resistance measurements. Treatment involves the delivery of weak direct currents, which remove blockages in meridian channels, thereby promoting local blood circulation and tissue repair. Recent research suggests that pulsed electromagnetic fields (PEMFs) and microcurrent stimulation can influence neural signaling, gene expression, and redox balance, thereby benefiting conditions such as chronic pain, soft tissue injury, and functional dysregulation of the immune and endocrine systems. These results suggest that integrating bioelectric principles with traditional acupuncture concepts will support the hypothesis that ABMMA-BMT has the potential to regulate cellular processes and accelerate healing while avoiding invasive procedures. The mechanisms are still not well understood, but preliminary clinical data and experimental studies are good indicators of its therapeutic effect. Future research is needed to standardize treatment parameters and to clinically verify the efficacy of this modality, so that it can be incorporated as a conventional component of healthcare practice.
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Proteolytic Profiles of Aspergillus caespitosus, A. jensenii and A. neotritici, and a Novel Peptidase with Plasmin-like Activity for Biomedicine and Pharmacology
Available online: 04 August 2025More LessIntroductionCardiovascular diseases (CVDs) are the leading cause of death globally, often complicated by thromboembolic events. Plasmin, a key enzyme in fibrinolysis, is crucial for managing these conditions. Elevated or reduced plasmin levels can indicate thrombotic risks, making it a valuable diagnostic marker. Recent biotechnological advances have developed diagnostic kits to measure plasmin activity, aiding early detection and intervention. Fungal proteases, particularly from micromycetes, are emerging as promising agents in anticoagulant therapy. This study investigates three Aspergillus species — A. caespitosus, A. jensenii and A. neotritici for their potential to produce novel biomedical components.
MethodsThe fungi were cultured, and their proteolytic profiles were analyzed. Key findings include the identification of specific proteases with plasmin-like and protein C-activating activities. These enzymes were purified using isoelectric focusing and characterized through SDS-PAGE and zymography.
ResultsThe study confirmed that A. jensenii, and A. neotritici produce proteases with plasmin-like activity, with A. neotritici showing a single 35 kDa non-specific protease, and A. jensenii exhibiting two proteases (33 kDa and 100 kDa) in the acidic zone and one (110 kDa) in the neutral zone, the latter exhibiting specific chymotrypsin and plasmin-like activity.
DiscussionAmong the studied strains, A. neotritici exhibited the fastest secretion of proteases with plasmin-like activity, making it a promising source of enzymes with potential clinical applications. In contrast, A. caespitosus and A. jensenii displayed more complex protease compositions, featuring multiple active enzymes. Notably, one of the A. jensenii proteases showed pronounced specificity toward chymotrypsin and fibrinolytic substrates, indicating its suitability for the development of targeted therapeutic agents.
ConclusionThese findings suggest the potential of these fungal proteases for developing novel anticoagulant therapies and diagnostic tools.
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Genetic Evidence for Causal Effects of Lipid-lowering Drug Targets on Primary Sjögren's Syndrome Risk: A Mendelian Randomization Study
Authors: Yuying Li, Weiquan Liao, Ying’ao Guo, Lijuan Xiao, Zaixing Qiu, Jingjing Xie and Jianyong ZhangAvailable online: 04 August 2025More LessIntroductionPrimary Sjögren's Syndrome (pSS) is a chronic autoimmune condition affecting lacrimal and salivary glands. While previous studies suggest potential associations between dyslipidemia and autoimmune diseases, the causal relationship between lipid-lowering medications and pSS remains unclear.
MethodsThis study employed drug-targeted Mendelian randomization (MR) analysis to assess the impact of lipid-lowering drugs on pSS risk, focusing on genetic targets including HMGCR, PCSK9, NPC1L1, APOB, CETP, and LDLR. Data were sourced from the Global Lipids Genetics Consortium and UK Biobank. Significant single-nucleotide polymorphisms linked to LDL cholesterol were utilized as instrumental variables. Causal effects were estimated using Inverse Variance Weighted, Weighted Median, MR Egger, Simple Mode, and Weighted Mode methods. Robustness was ensured through heterogeneity and sensitivity analyses.
ResultsThe inhibition of HMGCR and CETP genes was found to be significantly associated with an increased risk of developing pSS (HMGCR: OR = 3.602, 95% CI [1.051, 12.344], p = 0.041; CETP: OR = 12.251, 95% CI [2.599, 57.743], p = 0.002).
DiscussionHMGCR and CETP may affect pSS risk via non-lipid pathways, suggesting distinct mechanisms among different lipid-lowering drug targets.
ConclusionThis study provides compelling evidence suggesting that lipid-lowering drugs may contribute to the risk of pSS, thus offering new insights for clinical intervention strategies.
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Spray Drying: A Promising Technique for Inhalable Vaccine Development
Available online: 29 July 2025More LessIn the pursuit of innovative vaccine delivery methods, this review explores the potential of spray drying for formulating inhalable vaccines. Traditional vaccine approaches face challenges in administration, storage, and accessibility, especially in resource-limited settings. Inhalable vaccines, utilizing techniques like spray drying, offer a promising solution. By bypassing systemic circulation and directly targeting the respiratory mucosa, inhalable vaccines can induce robust mucosal and systemic immune responses. Spray drying, a versatile technique, is particularly well-suited for formulating inhalable vaccines. It transforms liquid vaccine formulations into finely dispersed powders, enabling efficient delivery to the lungs. This review delves into the unique characteristics of spray-dried particles, their impact on immune system activation, and their role in overcoming traditional vaccine limitations. The exploration emphasizes the potential for spray drying to revolutionize vaccine development, providing a comprehensive overview of its applications and contributions to improving global public health.
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Emerging Protein Therapeutics as a Strategy for Cervical Cancer Treatment
Available online: 25 July 2025More LessCervical cancer continues to be a critical public health concern globally, with increasing mortality rates, particularly in Low- and Middle-Income Countries (LMICs) where healthcare resources remain limited. With more than 300,000 fatalities each year, it is the fourth most frequent cancer in women globally. Long-term infection with carcinogenic Human Papillomavirus (HPV) variants, which cause cancer through viral proteins including E5, E6, and E7, is the leading cause of cervical cancer. These proteins interfere with host cellular functions, which promote the development and spread of cancer. Conventional treatment strategies, including chemotherapeutics and immunotherapies, have achieved varying degrees of success. However, protein-based therapeutics have recently emerged as a promising class of agents in oncology due to their ability to modulate specific molecular targets with high precision and specificity. These biologics interact with cell surface receptors and orchestrate essential signalling cascades, such as the NF-κB, MAPK, and PI3K/AKT pathways. Notably, new classes of protein therapeutics, such as toxin-based agents and Bromodomain and Extra-Terminal (BET) domain inhibitors, have shown effectiveness in disrupting tumor-promoting pathways. In addition to their direct antitumor activities, protein therapeutics also modify the tumor microenvironment, affecting stromal elements and lymphatic architecture, and ultimately promoting apoptosis. This review critically examines the landscape of protein-based therapeutic approaches for cervical cancer, delineating their mechanisms of action and highlighting their role in targeting inflammatory pathways—such as inflammasomes and cytokine networks—that contribute to tumor progression and immune modulation.
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Advances in the Mechanism and Applications of Stimulus-responsive DNA Hydrogels
Authors: Yifan He, Zhaohe Huang, Xiaojing Pei, Yinmao Dong and Xiangliang YangAvailable online: 24 July 2025More LessDNA hydrogels possess numerous unique and attractive features, including excellent biocompatibility and biodegradability, as well as inherent programmability, catalytic functionality, therapeutic potential, and precise molecular recognition and bonding capabilities. Furthermore, intelligent DNA hydrogels exhibit stimuli-responsive behaviors, transitioning between gel and sol states in response to various stimuli, including pH, temperature, enzymes, and others. Through intelligent, rational design and controlled preparation of DNA nanostructures, a broad spectrum of advanced applications has been realized. In this mini-review, we focus on recent developments in the construction strategies, molecular structures, and functional mechanisms of DNA hydrogels. Additionally, representative applications of stimuli-responsive DNA hydrogels are discussed. Finally, challenges and the future outlook of DNA hydrogels are proposed.
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