4.7 Article

Optimizing nanoliposomal formulations: Assessing factors affecting entrapment efficiency of curcumin-loaded liposomes using machine learning

Related references

Note: Only part of the references are listed.
Article Pharmacology & Pharmacy

Anticancer potential of curcumin-cyclodextrin complexes and their pharmacokinetic properties

Mahsa Shahriari et al.

Summary: Cancer is a widespread disease with various treatment modalities and challenges. Chemotherapy has limitations due to toxicity and drug resistance. Curcumin, a natural compound with multiple therapeutic properties, has poor solubility and limited bioavailability. Cyclodextrin complexes of curcumin improve its properties, and beta-cyclodextrin is commonly used. This review focuses on comparing different curcumin-cyclodextrin formulations.

INTERNATIONAL JOURNAL OF PHARMACEUTICS (2023)

Article Pharmacology & Pharmacy

Machine learning using multi-modal data predicts the production of selective laser sintered 3D printed drug products

Youssef Abdalla et al.

Summary: Three-dimensional (3D) printing in medicine is changing the way medicine is produced, offering precise digital fabrication and personalized designs. Selective laser sintering (SLS), an emerging 3D printing technology, is gaining attention for its high precision and ability to work with a wide range of pharmaceutical materials. However, fully realizing the potential of SLS for medicine requires expertise and extensive trial-and-error research. This study used machine learning (ML) to predict the printability of SLS formulations, achieving high accuracy by combining formulation composition data with various characterization techniques.

INTERNATIONAL JOURNAL OF PHARMACEUTICS (2023)

Article Pharmacology & Pharmacy

Interpretable artificial neural networks for retrospective QbD of pharmaceutical tablet manufacturing based on a pilot-scale developmental dataset

Brigitta Nagy et al.

Summary: As the pharmaceutical industry adopts Pharma 4.0, there is a need to predict product quality based on manufacturing or in-process data. Artificial neural networks (ANNs) were developed and interpreted to increase process understanding by analyzing developmental or manufacturing data. The ANNs provided better results for predicting tablet dissolution and hardness compared to NIR or Raman spectra. They were also used to identify the root causes of batch-to-batch variability and control the tableting process.

INTERNATIONAL JOURNAL OF PHARMACEUTICS (2023)

Article Pharmacology & Pharmacy

Comparative study of lipid nanoparticle-based mRNA vaccine bioprocess with machine learning and combinatorial artificial neural network-design of experiment approach

Ravi Maharjan et al.

Summary: A combinatorial artificial-neural-network design-of-experiment (ANN-DOE) model was developed to evaluate the effects of various factors on the outcome responses of mRNA-LNP vaccine. The ANN-DOE model outperformed optimized ML models in predicting the bioprocess of the vaccine. Increased flow rate ratio (FRR) decreased particle size and increased zeta potential (ZP), while increased total flow rate (TFR) increased PDI and ZP. The ANN-DOE model demonstrated better predictive ability and accuracy compared to independent ML models.

INTERNATIONAL JOURNAL OF PHARMACEUTICS (2023)

Article Pharmacology & Pharmacy

Designing and characterization of curcumin-loaded nanotechnological dressings: A promising platform for skin burn treatment

Gabriela de Moraes Soares Araujo et al.

Summary: Burns damage the skin and its appendages, providing a favorable environment for bacterial infections. Due to the limitations and costs of current treatments, finding more efficient alternatives for burns is necessary. This study developed curcumin nanoemulsion-impregnated dressings using nanotechnology, which demonstrated stability and controlled release of curcumin. The evaluation showed that cationized dressings released curcumin faster, while non-cationized dressings promoted a more constant release.

INTERNATIONAL JOURNAL OF PHARMACEUTICS (2023)

Article Pharmacology & Pharmacy

Enhanced therapeutic efficacy of Piperlongumine for cancer treatment using nano-liposomes mediated delivery

Shama Parveen et al.

Summary: In this study, PL loaded nano-liposomes (NPL) were formulated using Response Surface Methodology (RSM) to treat cervical cancer. The NPL showed enhanced cytotoxicity, reduced cell proliferation, increased nuclear condensation, inhibition of cell migration, and promoted apoptosis in human cervical cancer cells.

INTERNATIONAL JOURNAL OF PHARMACEUTICS (2023)

Article Pharmacology & Pharmacy

Curcumin-Containing polyphosphazene nanodrug for Anti-Inflammation and nerve regeneration to improve functional recovery after spinal cord injury

Xiaochen Su et al.

Summary: This study reports a curcumin (CUR)-containing nanosystem (FCTHPC) with high drug loading efficiency. By inhibiting the expression of pro-inflammatory factors and apoptotic proteins and activating the Wnt/β-catenin pathway, the versatile FCTHPC can significantly alleviate the damage caused by inflammation and apoptosis in the early stage of spinal cord injury (SCI). Long-term in vivo studies demonstrate that FCTHPC effectively inhibits glial scar formation, promotes nerve regeneration and myelination, and leads to significant recovery of spinal cord function. This study highlights the promise of the biocompatible CUR-based nanosystem for treating SCI.

INTERNATIONAL JOURNAL OF PHARMACEUTICS (2023)

Article Pharmacology & Pharmacy

Pegylated liposomal encapsulation improves the antitumor efficacy of combretastatin A4 in murine 4T1 triple-negative breast cancer model

Farshad Mirzavi et al.

Summary: The study demonstrated that encapsulating CA4 in PEGylated liposomes enhanced its anti-tumor activity, especially for triple-negative breast cancer; F3 liposomes showed significantly lower CA4 release compared to other formulations at different pH values; In vivo studies revealed that F3 liposomes effectively accumulated at the tumor site and delayed tumor growth more effectively.

INTERNATIONAL JOURNAL OF PHARMACEUTICS (2022)

Review Biochemistry & Molecular Biology

A Review of Liposomes as a Drug Delivery System: Current Status of Approved Products, Regulatory Environments, and Future Perspectives

Peng Liu et al.

Summary: Liposomes have been widely recognized as promising drug carriers due to their superior properties. This review discusses the liposomal drug products approved by FDA and EMA, providing valuable information on their critical chemistry and pharmaceutical technologies. Moreover, it summarizes the current regulatory guidance and future perspectives related to liposomal products.

MOLECULES (2022)

Article Pharmacology & Pharmacy

Novel microfluidic swirl mixers for scalable formulation of curcumin loaded liposomes for cancer therapy

Ruicheng Xu et al.

Summary: The study demonstrated the use of microfluidic swirl mixers for large-scale production of liposomes with high productivity and better size control. These liposomes effectively delivered curcumin into cancer cells, showing promising potential for drug delivery systems.

INTERNATIONAL JOURNAL OF PHARMACEUTICS (2022)

Article Chemistry, Analytical

Machine Learning-Based Boosted Regression Ensemble Combined with Hyperparameter Tuning for Optimal Adaptive Learning

Joseph Isabona et al.

Summary: Many telecommunication industries have embraced the integration of artificial intelligence techniques, specifically machine learning, for improving data analysis, extracting patterns, and enhancing predictive decision-making. Through performance benchmarking and innovative algorithms like RF-LS-BPT, better prediction accuracy and optimal performance are achieved for throughput estimation and modeling in advanced wireless communication systems like 5G.

SENSORS (2022)

Article Pharmacology & Pharmacy

A machine learning framework for predicting entrapment efficiency in niosomal particles

Fatemeh Kashani-Asadi-Jafari et al.

Summary: This study proposes a machine learning framework to find the key parameter affecting the drug entrapment efficiency of niosomal vesicles and obtain the optimal value. The hydrophilic-lipophilic balance (HLB) is identified as the most influential parameter, and its optimal value is determined through a sensitivity experiment. The results demonstrate the effectiveness of machine learning in synthesizing niosomal systems with optimal entrapment efficiency at a lower cost and time.

INTERNATIONAL JOURNAL OF PHARMACEUTICS (2022)

Article Engineering, Biomedical

Artificial neural network for optimizing the formulation of curcumin-loaded liposomes from statistically designed experiments

Ibilola M. Cardoso-Daodu et al.

Summary: Curcumin-loaded liposome formulation plays an important role in skin regeneration and wound healing. Optimization of the formulation using artificial neural network can improve encapsulation efficiency and flux.

PROGRESS IN BIOMATERIALS (2022)

Article Engineering, Electrical & Electronic

Radial basis function neural network path loss prediction model for LTE networks in multitransmitter signal propagation environments

Stephen Ojo et al.

Summary: This paper proposes using machine learning algorithms for path loss prediction to address the trade-off between simplicity and accuracy in existing models. Experimental data was used to develop two machine learning-based path loss prediction models, with the radial basis function neural network (RBFNN) showing higher accuracy compared to the multilayer perception neural network (MLPNN). The proposed machine learning-based path loss prediction models were also compared against five existing empirical models, with the RBFNN demonstrating the most accurate results.

INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS (2021)

Article Chemistry, Medicinal

Oral nano-curcumin formulation efficacy in management of mild to moderate hospitalized coronavirus disease-19 patients: An open label nonrandomized clinical trial

Niloofar Saber-Moghaddam et al.

Summary: The study demonstrates that oral curcumin nano-formulation has significant effects in treating hospitalized COVID-19 patients, accelerating symptom relief and recovery. The treatment group showed superior outcomes in various aspects compared to the control group, including faster symptom resolution, higher oxygen saturation, and lymphocyte count.

PHYTOTHERAPY RESEARCH (2021)

Review Biochemistry & Molecular Biology

Controlled Drug Delivery Systems: Current Status and Future Directions

Shivakalyani Adepu et al.

Summary: The paper discusses the evolution of drug delivery systems, the limitations of conventional drug delivery, and the details of controlled drug delivery systems, including design considerations, classifications, and recent research findings on nano-drug delivery, targeted drug delivery, and smart drug delivery using intelligent biomaterials. The challenges and future directions in controlled drug delivery are also addressed in the conclusion.

MOLECULES (2021)

Article Pharmacology & Pharmacy

Real-time release testing of dissolution based on surrogate models developed by machine learning algorithms using NIR spectra, compression force and particle size distribution as input data

Dorian Laszlo Galata et al.

Summary: In this study, spectroscopic measurements, process data, and Critical Material Attributes were used to predict the in vitro dissolution profile of sustained-release tablets with three machine learning methods. The influence of factors such as API, matrix polymer PSD, compression force on drug release rate was studied, with matrix polymer PSD found to be a significant factor. Models incorporating PSD data showed improved dissolution prediction accuracy.

INTERNATIONAL JOURNAL OF PHARMACEUTICS (2021)

Article Pharmacology & Pharmacy

Modeling of a spray drying method to produce ciprofloxacin nanocrystals inside the liposomes utilizing a response surface methodology: Box-Behnken experimental design

Isra Khatib et al.

Summary: The study optimized CNL powder production by evaluating the response surface via design of experiments (DoE), finding that sucrose and lactose were superior protectants compared to trehalose. The research demonstrates that the model developed was effective, and the optimum processing conditions for high drug encapsulation involved 57% sucrose, an 80°C inlet temperature, and an atomization rate of 742 L/hr.

INTERNATIONAL JOURNAL OF PHARMACEUTICS (2021)

Article Nanoscience & Nanotechnology

Are Smaller Nanoparticles Always Better? Understanding the Biological Effect of Size-Dependent Silver Nanoparticle Aggregation Under Biorelevant Conditions

Peter Belteky et al.

Summary: This study revealed that acidic pH and physiological electrolyte content universally induce aggregation of silver nanoparticles, with larger particles demonstrating higher resistance to aggregation compared to smaller counterparts. Extreme aggregation can lead to the complete loss of biological activity for AgNPs, highlighting the importance of colloidal stability. The findings suggest that aiming for the smallest possible nanoparticles may not be the best course of action in order to retain biological activity.

INTERNATIONAL JOURNAL OF NANOMEDICINE (2021)

Article Pharmacology & Pharmacy

Artificial neural networks in tandem with molecular descriptors as predictive tools for continuous liposome manufacturing

Sameera Sansare et al.

Summary: The study utilized an artificial neural network to optimize continuous liposome manufacturing system, incorporating critical material attributes, process parameters, and molecular descriptors to reduce training and testing errors, ultimately improving model accuracy.

INTERNATIONAL JOURNAL OF PHARMACEUTICS (2021)

Review Pharmacology & Pharmacy

Curcumin encapsulation in nanostructures for cancer therapy: A 10-year overview

Natalia A. D'Angelo et al.

Summary: This study reviews the literature from the past 10 years on the encapsulation of curcumin (CUR) in nanostructured systems, highlighting its use and ability in cancer therapy. The findings show that these nanoformulations achieved higher solubility, improved tumor cytotoxicity, prolonged CUR release, and reduced side effects, among other interesting advantages.

INTERNATIONAL JOURNAL OF PHARMACEUTICS (2021)

Review Biochemistry & Molecular Biology

Basic Methods for Preparation of Liposomes and Studying Their Interactions with Different Compounds, with the Emphasis on Polyphenols

Luka Sturm et al.

Summary: Studying the interactions between lipid membranes and bioactive molecules is crucial for understanding their effects on lipid bilayers, which can be utilized for inhibiting bacteria, cancer cells, eliminating viruses, or maintaining healthy cells. Liposomes, as model lipid membranes, provide a basic and stable platform for investigating the effects of bioactive compounds on lipid membranes.

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2021)

Article Chemistry, Physical

Comparison of cubosomes and liposomes for the encapsulation and delivery of curcumin

Cuihua Chang et al.

Summary: Inverse bicontinuous cubic phase nanoparticles (cubosomes) have been investigated as delivery vehicles for curcumin, a compound with anti-cancer properties. The study found that the encapsulation efficiency of curcumin within cubosomes varied depending on nanoparticle architecture and curcumin concentration, with cubosomes showing potential for improving curcumin bioavailability and cytotoxicity against melanoma cell lines. These findings suggest the potential of cubosomes as delivery vehicles for curcumin and other poorly water-soluble drugs.

SOFT MATTER (2021)

Article Pharmacology & Pharmacy

Gelatin nanoparticles for NSAID systemic administration: Quality by design and artificial neural networks implementation

Antigoni E. Koletti et al.

INTERNATIONAL JOURNAL OF PHARMACEUTICS (2020)

Review Nanoscience & Nanotechnology

Nano Encapsulated Curcumin: And Its Potential for Biomedical Applications

Yan Chen et al.

INTERNATIONAL JOURNAL OF NANOMEDICINE (2020)

Article Biochemical Research Methods

Spectrofluorometric Method Development and Validation for the Determination of Curcumin in Nanoliposomes and Plasma

Maryam Karimi et al.

JOURNAL OF FLUORESCENCE (2020)

Review Biochemistry & Molecular Biology

Recent Progress in Bioconjugation Strategies for Liposome-Mediated Drug Delivery

Bethany Almeida et al.

MOLECULES (2020)

Review Biochemistry & Molecular Biology

Potential Mechanisms of Action of Curcumin for Cancer Prevention: Focus on Cellular Signaling Pathways and miRNAs

Man Wang et al.

INTERNATIONAL JOURNAL OF BIOLOGICAL SCIENCES (2019)

Article Pharmacology & Pharmacy

Stable and sustained release liposomal formulations of celecoxib: In vitro and in vivo anti-tumor evaluation

M. Matbou Riahi et al.

INTERNATIONAL JOURNAL OF PHARMACEUTICS (2018)

Article Chemistry, Medicinal

Artificial neural networks as alternative tool for minimizing error predictions in manufacturing ultradeformable nanoliposome formulations

Jose M. Leon Blanco et al.

DRUG DEVELOPMENT AND INDUSTRIAL PHARMACY (2018)

Article Biochemical Research Methods

Use of Model Predictive Control and Artificial Neural Networks to Optimize the Ultrasonic Release of a Model Drug From Liposomes

Hesham G. Moussa et al.

IEEE TRANSACTIONS ON NANOBIOSCIENCE (2017)

Article Engineering, Biomedical

Gelatinized-core liposomes: Toward a more robust carrier for hydrophilic molecules

Rania M. Hathout et al.

JOURNAL OF BIOMEDICAL MATERIALS RESEARCH PART A (2017)

Article Chemistry, Medicinal

Size, Loading Efficiency, and Cytotoxicity of Albumin-Loaded Chitosan Nanoparticles: An Artificial Neural Networks Study

Hadi Baharifar et al.

JOURNAL OF PHARMACEUTICAL SCIENCES (2017)

Article Medicine, Research & Experimental

Development of a Rapidly Dissolvable Oral Pediatric Formulation for Mefloquine Using Liposomes

Wei-Lun Tang et al.

MOLECULAR PHARMACEUTICS (2017)

Article Chemistry, Medicinal

Factors affecting liposomes particle size prepared by ethanol injection method

Sherif Shaker et al.

RESEARCH IN PHARMACEUTICAL SCIENCES (2017)

Article Biochemistry & Molecular Biology

Chitosan-tripolyphosphate nanoparticles: Optimization of formulation parameters for improving process yield at a novel pH using artificial neural networks

Rania A. Hashad et al.

INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES (2016)

Review Pharmacology & Pharmacy

The Impact of Variables on Particle Size of Solid Lipid Nanoparticles and Nanostructured Lipid Carriers; A Comparative Literature Review

Leila Azhar Shekoufeh Bahari et al.

ADVANCED PHARMACEUTICAL BULLETIN (2016)

Article Pharmacology & Pharmacy

Nanoliposome-mediated targeting of antibodies to tumors: IVIG antibodies as a model

Amin Reza Nikpoor et al.

INTERNATIONAL JOURNAL OF PHARMACEUTICS (2015)

Article Pharmacology & Pharmacy

Optimization of particle size and encapsulation efficiency of vancomycin nanoparticles by response surface methodology

Soheyla Honary et al.

PHARMACEUTICAL DEVELOPMENT AND TECHNOLOGY (2014)

Article Biophysics

Curcumin-containing liposomes stabilized by thin layers of chitosan derivatives

Anna Karewicz et al.

COLLOIDS AND SURFACES B-BIOINTERFACES (2013)

Review Nanoscience & Nanotechnology

Liposome: classification, preparation, and applications

Abolfazl Akbarzadeh et al.

NANOSCALE RESEARCH LETTERS (2013)

Article Pharmacology & Pharmacy

Effects of processing parameters on particle size of ultrasound prepared chitosan nanoparticles: An Artificial Neural Networks Study

Elina Esmaeilzadeh-Gharedaghi et al.

PHARMACEUTICAL DEVELOPMENT AND TECHNOLOGY (2012)

Article Biotechnology & Applied Microbiology

Scale up, optimization and stability analysis of Curcumin C3 complex-loaded nanoparticles for cancer therapy

Amalendu P. Ranjan et al.

JOURNAL OF NANOBIOTECHNOLOGY (2012)

Article Biochemistry & Molecular Biology

Reducing liposome size with ultrasound: Bimodal size distributions

DJ Woodbury et al.

JOURNAL OF LIPOSOME RESEARCH (2006)

Review Engineering, Biomedical

Physico-chemical stability of colloidal lipid particles

B Heurtault et al.

BIOMATERIALS (2003)

Article Pharmacology & Pharmacy

Development of novel topical tranexamic acid liposome formulations

A Manosroi et al.

INTERNATIONAL JOURNAL OF PHARMACEUTICS (2002)