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The ameliorative effects of honeysuckle extract and its major component luteolin on autism-like behaviors in the NDE1 deficiency model 金银花提取物及其主要成分木犀草素对NDE1缺乏模型自闭症样行为的改善作用
Pub Date : 2025-06-01 DOI: 10.1016/j.jhip.2025.06.007
Qi Zhang, Shenglan Gou, Jia Lin, Yinglan Zhang, Qiang Li

Objective

To evaluate the effects of honeysuckle extract and its active component, luteolin, on the autistic-like behaviors and neuroinflammatory responses in NDE1-deficient autism spectrum disorder (ASD) zebrafish models. Also, to assess whether differences exist in their behavioral improvement effects and impacts on brain inflammatory factor expression levels.

Methods

Behavioral phenotyping (hyperactivity, stereotypic back-and-forth swimming, and 1VS6 social preference/grouping tests) and molecular analyses (quantification of NF-κB, IL6, TNFα, and IL1β) were performed on NDE1-deficient zebrafish treated with honeysuckle extract or luteolin.

Results

Honeysuckle extract improved two core symptoms of ASD, small circling repetitive stereotyped behavior and 1VS6 social preference behavior. While luteolin enhanced one core symptom, shoaling behavior, and one comorbid symptom, hyperactive locomotor activity. Molecularly, honeysuckle extract normalized IL6 levels, and luteolin reduced IL1β overexpression; their effects on brain inflammation in the NDE1-deficient autism model differed.

Conclusion

Both honeysuckle extract and luteolin demonstrated behavioral rescue and anti-neuroinflammatory effects in NDE1-deficient ASD zebrafish models. The ameliorating effects of luteolin on ASD-related behaviors and neuroinflammation are supported by literature, while the beneficial effects of honeysuckle on ASD-related behaviors represent a novel finding of this study, highlighting medicinal plants and plant-derived compounds as potential ASD therapeutics. Given honeysuckle's traditional Chinese medicinal and food uses, established safety, and superior improvement of core ASD symptoms compared to luteolin, it may offer a safer autism treatment option than luteolin-based small-molecule medication.
目的探讨金银花提取物及其有效成分木犀草素对nde1缺陷型自闭症谱系障碍(ASD)斑马鱼模型的自闭样行为和神经炎症反应的影响。同时,评估它们在行为改善效果和对脑炎症因子表达水平的影响方面是否存在差异。方法采用金银花提取物或木草素处理nde1缺陷斑马鱼,进行行为表型分析(多动、刻板往返游泳、1VS6社会偏好/分组测试)和分子分析(NF-κB、il - 6、TNFα和il - 1β的定量分析)。结果金银花提取物可改善ASD的两大核心症状:小圆重复刻板行为和1VS6社会偏好行为。而木犀草素增强了一个核心症状,即鱼群行为,以及一个共病症状,即过度活跃的运动活动。在分子上,金银花提取物使IL6水平正常化,木犀草素降低了IL1β的过表达;在缺乏nde1的自闭症模型中,它们对脑部炎症的影响有所不同。结论金银花提取物和木犀草素对nde1缺失型ASD斑马鱼均有行为拯救和抗神经炎症作用。木犀草素对ASD相关行为和神经炎症的改善作用已得到文献支持,而金银花对ASD相关行为的有益作用是本研究的新发现,突出了药用植物和植物源性化合物作为潜在的ASD治疗药物。与木犀草素相比,金银花具有传统的中药和食品用途、已建立的安全性以及对核心ASD症状的显著改善,因此它可能是一种比基于木犀草素的小分子药物更安全的自闭症治疗选择。
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引用次数: 0
Screening of potential markers for vitiligo based on bioinformatics and LASSO regression and prediction of Chinese medicine 基于生物信息学和LASSO回归预测的白癜风潜在标志物筛选
Pub Date : 2025-06-01 DOI: 10.1016/j.jhip.2025.06.003
Wei liang , Minni Huang , Yue Sun , Shuyu Guan

Objective

This study aimed to use bioinformatics techniques to screen biomarkers related to vitiligo.

Methods

Firstly, the gene expression profiles of vitiligo were obtained from the GEO database, and differentially expressed genes (DEGs) were identified. Subsequently, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed on these differentially expressed genes. Through weighted gene co-expression network analysis (WGCNA), the core genes in the module most closely related to vitiligo were identified, and an intersection analysis was conducted with the DEGs. Next, a protein-protein interaction (PPI) network analysis was carried out on the intersection genes. Key genes were further screened using Cytohubba and least absolute shrinkage and selection operator (LASSO) regression analysis, and the roles of these key genes in immune cell infiltration were explored through single-sample gene set enrichment analysis (ssGSEA). In addition, the diagnostic effectiveness of the key genes was verified by the receiver operating characteristic (ROC) curve, and drugs related to the key genes were predicted using databases. Finally, the expression levels of these key genes were verified through reverse transcription quantitative polymerase chain reaction (RT-qPCR) and Western blot experiments.

Results

A total of 667 DEGs were identified, and the enrichment analysis mainly involved cell adhesion molecules, T cell receptor signaling pathway, etc. Nineteen core genes were screened out from the five algorithms of Cytohubba, and LASSO regression analysis further determined four key genes (IL7R, GZMH, CD3G, and UBD). Immune cell infiltration analysis showed that these four key genes had high expression in immune cells. The prediction results of traditional Chinese medicine showed that 15 traditional Chinese medicines were related to the key genes. The results of RT-qPCR showed that the expressions of IL7R, GZMH, and CD3G were significantly upregulated (P ​< ​0.05, ∗∗P ​< ​0.01, ∗∗∗P ​< ​0.001), and Western blot showed obvious expressions of IL7R, GZMH, CD3G, and UBD.

Conclusion

This study used bioinformatics methods to explore the biomarkers of vitiligo, and verified the potential of IL7R, GZMH, and CD3G as novel candidate genes through in vitro experiments. These genes may become new targets for the diagnosis, prognosis, and treatment of vitiligo.
目的利用生物信息学技术筛选与白癜风相关的生物标志物。方法首先从GEO数据库中获取白癜风基因表达谱,鉴定差异表达基因(DEGs);随后,对这些差异表达基因进行基因本体(GO)和京都基因与基因组百科全书(KEGG)富集分析。通过加权基因共表达网络分析(weighted gene co-expression network analysis, WGCNA),鉴定出模块中与白癜风关系最密切的核心基因,并与deg进行交叉分析。然后,对交叉基因进行蛋白-蛋白相互作用(PPI)网络分析。通过Cytohubba和least absolute shrinkage and selection operator (LASSO)回归分析进一步筛选关键基因,并通过单样本基因集富集分析(ssGSEA)探讨这些关键基因在免疫细胞浸润中的作用。此外,通过受试者工作特征(ROC)曲线验证关键基因的诊断有效性,并利用数据库预测关键基因相关的药物。最后通过逆转录定量聚合酶链反应(RT-qPCR)和Western blot实验验证这些关键基因的表达水平。结果共鉴定出667个deg,富集分析主要涉及细胞粘附分子、T细胞受体信号通路等。从Cytohubba的5种算法中筛选出19个核心基因,LASSO回归分析进一步确定了4个关键基因(IL7R、GZMH、CD3G和UBD)。免疫细胞浸润分析表明,这四个关键基因在免疫细胞中均有高表达。中药预测结果显示,有15种中药与关键基因相关。RT-qPCR结果显示,IL7R、GZMH和CD3G的表达显著上调(∗P <;0.05, * * P <;0.01, * * * P <;0.001), Western blot显示IL7R、GZMH、CD3G、UBD明显表达。结论本研究采用生物信息学方法探索白癜风的生物标志物,并通过体外实验验证了IL7R、GZMH和CD3G作为新的候选基因的潜力。这些基因可能成为白癜风诊断、预后和治疗的新靶点。
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引用次数: 0
Integrating metabolism gene clusters and tumor immune microenvironment in head and neck squamous cell carcinoma 头颈部鳞状细胞癌整合代谢基因簇与肿瘤免疫微环境研究
Pub Date : 2025-06-01 DOI: 10.1016/j.jhip.2025.06.006
Meina Lian , Xiaoxia Wang , Zixian Huang , Yudong Wang , Zhiquan Huang

Objective

To investigate the relationship between tumor metabolism and immune cell infiltration in Head and Neck Squamous Cell Carcinoma (HNSCC), aiming to identify novel biomarkers and potential therapeutic targets.

Methods

Seven major metabolic pathways were analyzed using Gene Set Variation Analysis (GSVA) in HNSCC cohorts to assess their correlation with overall survival (OS) and immune microenvironment characteristics. Unsupervised clustering was applied to identify metabolic subtypes, and differentially expressed metabolism-related genes (MRGs) were screened for prognostic relevance. A risk model was constructed based on 16 core MRGs. TNFAIP6 was further evaluated for its functional role through in vitro assays, including proliferation, migration, and invasion analyses.

Results

The activity of key metabolic pathways, such as glycolysis, oxidative phosphorylation, and fatty acid metabolism, significantly correlated with OS and immune infiltration patterns. Two distinct metabolic clusters (C1 and C2) were identified, with C1 associated with a more immune-enriched microenvironment. A total of 698 MRGs were linked to immune modulation and tumor progression. The risk model based on 16 MRGs effectively stratified patients by prognosis and immune infiltration status. TNFAIP6 was highly expressed in malignant cells and associated with immunosuppression, poor survival, and tumor progression. Functional experiments confirmed that TNFAIP6 knockdown inhibited tumor cell proliferation, migration, and invasion.

Conclusion

Metabolic reprogramming plays a critical role in shaping the immune landscape of HNSCC. TNFAIP6 represents a promising prognostic biomarker and potential therapeutic target for improving personalized treatment in HNSCC patients.
目的探讨头颈部鳞状细胞癌(HNSCC)肿瘤代谢与免疫细胞浸润的关系,寻找新的生物标志物和潜在的治疗靶点。方法采用基因集变异分析(GSVA)分析HNSCC队列中7条主要代谢途径与总生存期(OS)和免疫微环境特征的相关性。应用无监督聚类来鉴定代谢亚型,并筛选差异表达的代谢相关基因(MRGs)以确定与预后的相关性。基于16个核心mrg构建风险模型。通过体外实验进一步评估TNFAIP6的功能作用,包括增殖、迁移和侵袭分析。结果糖酵解、氧化磷酸化和脂肪酸代谢等关键代谢途径的活性与OS和免疫浸润模式显著相关。鉴定出两个不同的代谢簇(C1和C2),其中C1与更免疫富集的微环境相关。共有698个MRGs与免疫调节和肿瘤进展有关。基于16个MRGs的风险模型根据预后和免疫浸润情况对患者进行了有效的分层。TNFAIP6在恶性细胞中高表达,与免疫抑制、生存差和肿瘤进展相关。功能实验证实,敲低TNFAIP6可抑制肿瘤细胞的增殖、迁移和侵袭。结论代谢重编程在HNSCC免疫景观的形成中起关键作用。TNFAIP6是一种有前景的预后生物标志物,也是改善HNSCC患者个性化治疗的潜在治疗靶点。
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引用次数: 0
Global Initiative for Glycolipid Metabolic Health 全球糖脂代谢健康倡议
Pub Date : 2025-06-01 DOI: 10.1016/j.jhip.2025.06.001
Jiao Guo
Glycolipid metabolic disorders, linked to cardiovascular diseases and cancer, are a major global health challenge. Current single-disease treatments remain ​unsatisfied in reducing long-term risks. In 2024, Professor Jiao Guo along with global experts launched the "Global Initiative for Glycolipid Metabolic Health" to enhance prevention through scientific research, public education, and integrated management systems.
与心血管疾病和癌症有关的糖脂代谢紊乱是一项重大的全球健康挑战。目前的单一疾病治疗在降低长期风险方面仍不令人满意。2024年,焦果教授与全球专家共同发起了“全球糖脂代谢健康倡议”,旨在通过科学研究、公众教育和综合管理系统加强预防。
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引用次数: 0
Patient-derived organoids: Advancing research on bioactive natural compounds in lung cancer 患者来源的类器官:促进肺癌中生物活性天然化合物的研究
Pub Date : 2025-06-01 DOI: 10.1016/j.jhip.2025.06.008
Xiao Chen , Xian Lin
Lung cancer, the leading cause of cancer-related deaths, demands innovative models for therapy development. Bioactive natural compounds, with their structural diversity and historical therapeutic significance, remain pivotal in drug discovery for combating lung malignancies. Patient-derived organoids (PDOs) surpass conventional models by preserving tumor heterogeneity, molecular profiles, and tumor microenvironment (TME) dynamics, enabling accurate drug response prediction and personalized therapy design. Recent studies leveraging lung cancer PDOs have validated several plant-derived agents for their tumor-suppressive effects, potential for chemosensitivity enhancement, and subtype-specific efficacy. Advanced co-culture systems incorporating TME components have improved preclinical-to-clinical translatability. The technological integration of bioengineered platforms (e.g., microfluidic systems, 3D bioprinting) and artificial intelligence has further enhanced high-throughput screening and clinical correlation of drug responses. Although lung cancer PDOs exhibit inherent limitations, these advancements establish PDOs as important tools for evaluating the efficacy-toxicity profiles of bioactive natural compounds and advancing precision oncology in lung cancer.
肺癌是癌症相关死亡的主要原因,需要创新的治疗发展模式。具有生物活性的天然化合物,其结构多样性和历史治疗意义,仍然是对抗肺部恶性肿瘤的药物发现的关键。患者源性类器官(PDOs)通过保留肿瘤异质性、分子特征和肿瘤微环境(TME)动力学,实现准确的药物反应预测和个性化治疗设计,超越了传统模型。最近利用肺癌PDOs的研究已经证实了几种植物源药物的肿瘤抑制作用,潜在的化学敏感性增强和亚型特异性功效。包含TME成分的先进共培养系统提高了临床前到临床的可翻译性。生物工程平台(如微流控系统、生物3D打印)与人工智能的技术融合,进一步增强了药物反应的高通量筛选和临床相关性。尽管肺癌pdo表现出固有的局限性,但这些进展使pdo成为评估生物活性天然化合物的药效-毒性谱和推进肺癌精确肿瘤学的重要工具。
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引用次数: 0
The transformative power of artificial intelligence in pharmaceutical manufacturing: Enhancing efficiency, product quality, and safety 人工智能在制药行业的变革力量:提高效率、产品质量和安全性
Pub Date : 2025-05-08 DOI: 10.1016/j.jhip.2025.03.007
Mukesh Vijayarangam Rajesh, Karthikeyan Elumalai
The pharmaceutical manufacturing industry transforms through artificial intelligence (AI) by implementing process improvements along with productivity enhancements and product quality improvements. The combination of big data and AI applications through machine learning algorithms analyzes manufacturing inefficiencies and recommends improvements for both medicine formulation and packaging as well as quality control measures. The combination of temperature adjustment, pressure adjustment, and ingredient proportion control enables AI to enhance the production efficiency of tablets, capsules, and injections, and decrease both time requirements and cost expenses. AI also enhances blister pack and vial packing methods and automates quality control inspections to ensure consistency of products by detecting defects. Consistent, reliable, and effective production processes rely on real-time monitoring and AI-driven adjustments, which directly contribute to manufacturing pharmaceutical products of improved quality. The continuous observation of the production process by AI helps to detect safety-related risks, including equipment failures and contamination risks, while addressing them promptly to preserve production security. The utilization of AI helps businesses identify necessary equipment maintenance demands which enables companies to organize maintenance before equipment breakdowns occur. AI-driven data insights enable companies to make strategic choices based on real-time data, automate operational processes for efficiency, and respond to emerging industry patterns positively. Through enhanced operational efficiency, waste minimization, and improvement of profit margins, AI integration in pharmaceutical production can transform the sector.
制药行业通过人工智能(AI)实现流程改进、生产力提高和产品质量改进。通过机器学习算法,将大数据和人工智能应用相结合,分析制造效率低下的问题,并对药物配方和包装以及质量控制措施提出改进建议。人工智能将温度调节、压力调节和配料比例控制相结合,可以提高片剂、胶囊和注射剂的生产效率,降低时间要求和成本支出。人工智能还增强了吸塑包装和小瓶包装方法,并自动进行质量控制检查,通过检测缺陷来确保产品的一致性。一致、可靠和有效的生产过程依赖于实时监控和人工智能驱动的调整,这直接有助于提高药品的质量。人工智能对生产过程的持续观察有助于发现与安全相关的风险,包括设备故障和污染风险,同时及时解决这些风险,以保障生产安全。人工智能的利用有助于企业识别必要的设备维护需求,使企业能够在设备发生故障之前组织维护。人工智能驱动的数据洞察使公司能够根据实时数据做出战略选择,自动化操作流程以提高效率,并积极应对新兴的行业模式。通过提高运营效率、减少浪费和提高利润率,人工智能在制药生产中的整合可以改变该行业。
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引用次数: 0
The repair effect of α-ketoglutarate combined with mesenchymal stem cells on osteoarthritis via the hedgehog protein pathway α-酮戊二酸联合间充质干细胞通过刺猬蛋白通路对骨关节炎的修复作用
Pub Date : 2025-03-01 DOI: 10.1016/j.jhip.2025.02.003
Liyan Li, Han Shen, Li Lu

Objective

Mesenchymal stem cell (MSC) therapy represents a promising treatment strategy for osteoarthritis (OA). Nevertheless, the therapeutic efficacy of MSCs may be attenuated under conditions of cellular senescence or when the available clinical quantity is insufficient. α-Ketoglutarate (AKG) exerts beneficial effects on skeletal tissues and the activity of stem cells. Consequently, the present study was designed to explore the potential of AKG in augmenting the viability of MSCs and the potential of their combined utilization in the treatment of OA.

Methods

MSCs with senescence induced by in vitro passaging served as the experimental subjects. The effects of AKG on the activity of senescent MSCs were investigated via morphological observation, scratch assay, and DAPI staining. Bioinformatics methods were employed to explore the action targets and pathways of AKG in the treatment of OA, providing a theoretical basis and experimental evidence for further experiments. The feasibility of this pathway was verified at the animal level. A rat model of OA was induced by intra-articular injection of sodium monoiodoacetate (MIA). Platelet-rich plasma (PRP), a representative drug for clinical OA treatment, was used as a positive control. The efficacy of combined high-dose and low-dose medications was evaluated through morphological observation and pathological section staining.

Results

The outcomes of the in vitro cellular experiments indicate that AKG is capable of decreasing the quantity of MSCs exhibiting senescent morphological features, enhancing the migratory capacity of MSCs, and suppressing the apoptotic process of MSCs. Consequently, AKG exerts a reparative influence on senescent MSCs. Bioinformatics analysis indicated that AKG exerts its repairing effect on OA by inhibiting the Hedgehog (HH) signaling pathway. Additionally, at the animal experiment level, we found that the synergistic effect of high-dose AKG combined with MSCs could more significantly alleviate the severity of OA. It enhances matrix synthesis, reduces endochondral ossification, and promotes cartilage repair through the HH pathway.

Conclusion

Our research indicates that AKG has a significant effect on enhancing the activity of MSCs. The combined treatment can promote the repair of articular cartilage in OA rats through the HH pathway, and it provides a novel approach for the treatment of OA.
目的:间充质干细胞(MSC)治疗骨关节炎(OA)是一种很有前景的治疗策略。然而,在细胞衰老或临床可用数量不足的情况下,MSCs的治疗效果可能会减弱。α-酮戊二酸(AKG)对骨组织和干细胞活性有有益作用。因此,本研究旨在探索AKG在增强间充质干细胞活力方面的潜力,以及它们在OA治疗中的联合应用潜力。方法以体外传代诱导衰老的smscs为实验对象。通过形态学观察、划痕实验和DAPI染色观察AKG对衰老MSCs活性的影响。采用生物信息学方法探索AKG治疗OA的作用靶点和通路,为进一步实验提供理论基础和实验依据。在动物水平上验证了该途径的可行性。采用关节内注射单碘乙酸钠(MIA)建立大鼠骨性关节炎模型。临床治疗OA的代表性药物富血小板血浆(PRP)作为阳性对照。通过形态学观察和病理切片染色评价高、低剂量联合用药的疗效。结果体外细胞实验结果表明,AKG能够减少MSCs呈现衰老形态特征的数量,增强MSCs的迁移能力,抑制MSCs的凋亡过程。因此,AKG对衰老间充质干细胞具有修复作用。生物信息学分析表明,AKG通过抑制Hedgehog (HH)信号通路发挥其对OA的修复作用。此外,在动物实验水平上,我们发现大剂量AKG联合MSCs的协同作用可以更显著地减轻OA的严重程度。它增强基质合成,减少软骨内成骨,并通过HH途径促进软骨修复。结论AKG对MSCs的活性有明显的增强作用。联合治疗可通过HH通路促进OA大鼠关节软骨的修复,为OA的治疗提供了新的途径。
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引用次数: 0
A review on the pharmacological effects of Alpinia offiinarum Hance and its active ingredients 乌桕的药理作用及其有效成分的研究进展
Pub Date : 2025-03-01 DOI: 10.1016/j.jhip.2025.03.006
Jiahui He, Yanfen Chen, Chaoyan Yang
Alpinia officinarum Hance (A. officinarum), as an important interior-warming herb in traditional Chinese medicine, is used to warm interior and disperse cold, regulate Qi and relieve pain. Modern research has found that A. officinarum has various active components and pharmacological effects. With the deepening of related studies, more attention has been focused to A. officinarum. This article reviews and summarizes the active components and pharmacological effects of A. officinarum by searching recent domestic and international literature, in order to provide a reference for the research on the mechanisms of action of A. officinarum and its active components, as well as for further clinical applications and new drug development.
Alpinia officinarum Hance (A. officinarum)是一种重要的温内中药,具有温内散寒、调气止痛的作用。现代研究发现,officinarum具有多种活性成分和药理作用。随着相关研究的深入,木犀草越来越受到人们的关注。本文通过检索国内外最新文献,对officinarum的有效成分和药理作用进行了综述和总结,以期为officinarum及其有效成分的作用机制研究,以及进一步的临床应用和新药开发提供参考。
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引用次数: 0
Development of ginger oleoresin-enriched marshmallow candy as a nutraceutical for managing pediatric chemotherapy-induced nausea and vomiting 富含姜油树脂的棉花糖作为治疗儿科化疗引起的恶心和呕吐的营养品的开发
Pub Date : 2025-03-01 DOI: 10.1016/j.jhip.2025.02.002
Marzooka Kazi-Chishti , Umme Jasvi Kulsum , Mohamed Hassan Dehghan , Mohd Nazimuddin Chishti , Kazi Bilal

Objective

Chemotherapy-induced nausea and vomiting (CINV) significantly impact pediatric cancer patients, affecting treatment adherence and quality of life. This study aimed to develop gingerol-enriched marshmallow candy as a nutraceutical to alleviate CINV, offering a palatable and effective antiemetic formulation for children.

Methods

A central composite experimental design was employed to optimize the formulation. The various parameters, including textural attributes (hardness, springiness, and cohesiveness), weight variation, disintegration time, in vitro release, moisture content, water activity coefficient, and stability, of the marshmallows were evaluated to ensure the efficacy and quality of the product.

Results

The study identified an optimal formulation comprising ginger powder extract (4% w/w), gelatin (6% w/w), gum acacia (2.5% w/w), and agar (2.5% w/w). This composition demonstrated excellent textural characteristics, rapid disintegration, and efficient gingerol release in simulated conditions. The marshmallow candy also exhibited high acceptability in terms of stability and potential usability as a pediatric nutraceutical.

Conclusion

The ginger oleoresin-enriched marshmallow candy presents a novel and appealing delivery system for managing CINV in pediatric patients. Its favorable sensory and functional properties could improve compliance and enhance the overall treatment experience for children undergoing chemotherapy.
目的探讨化疗引起的恶心呕吐(CINV)对儿童癌症患者的影响,影响治疗依从性和生活质量。本研究旨在开发富含姜辣素的棉花糖作为缓解CINV的营养保健品,为儿童提供一种美味有效的止吐配方。方法采用中心复合实验设计对复方进行优化。对棉花糖的质地属性(硬度、弹性、黏结性)、重量变化、崩解时间、体外释放度、水分含量、水活度系数、稳定性等参数进行评价,以保证产品的功效和质量。结果确定了生姜粉提取物(4% w/w)、明胶(6% w/w)、金合胶(2.5% w/w)、琼脂(2.5% w/w)的最佳配方。该组合物在模拟条件下表现出优异的结构特征、快速分解和有效的姜辣素释放。棉花糖在稳定性和作为儿童营养保健品的潜在可用性方面也表现出很高的可接受性。结论富含姜油树脂的棉花糖是治疗小儿CINV的一种新颖的、有吸引力的给药系统。其良好的感觉和功能特性可提高儿童化疗依从性,提高整体治疗体验。
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引用次数: 0
Review on application and development of pharmacogenomics of adverse drug reactions 药物不良反应药物基因组学研究进展与应用综述
Pub Date : 2025-03-01 DOI: 10.1016/j.jhip.2025.03.005
Hongyu Bi , Jun Zhu , Yuanxuan Cai , Xiaofang Shangguan , Zherui Chen , Maimoon Shihab Ahmed , Rui Huang
Adverse drug reactions (ADRs) are a significant public health issue, contributing substantially to patient morbidity and mortality. The growing accessibility of genomic technologies has greatly advanced our understanding of the genetics underlying ADRs. Pharmacogenomics, which investigates how genetic polymorphisms influence individual responses to drug therapy on a genome-wide scale, plays a pivotal role in this field. The article summarizes the relationship between ADRs and genes, outlines the current applications and advancements of pharmacogenomics in the prediction, diagnosis, prevention, regulation, and personalized treatment of ADRs, and reviews cutting-edge research methods and large-scale international studies. These insights aim to provide a reference for the future development of pharmacogenomics in ADR research.
药物不良反应(adr)是一个重要的公共卫生问题,是导致患者发病率和死亡率的重要因素。基因组技术的日益普及极大地促进了我们对adr遗传学基础的理解。药物基因组学研究基因多态性如何在全基因组范围内影响个体对药物治疗的反应,在这一领域发挥着关键作用。本文综述了adr与基因的关系,概述了药物基因组学在adr预测、诊断、预防、调控和个性化治疗等方面的应用现状和进展,并对前沿研究方法和大规模国际研究进行了综述。这些见解旨在为药物基因组学在药品不良反应研究中的未来发展提供参考。
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引用次数: 0
期刊
Journal of Holistic Integrative Pharmacy
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