plga nanoparticles
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Author(s):  
Reza Tayfeh-Ebrahimi ◽  
Amir Amniattalab ◽  
Rahim Mohammadi

Wound healing is interaction of a complex cascade of cellular/biochemical actions leading to restoration of structural and functional integrity with regain of injured tissues strength. This study was aimed at evaluation of application of ethanolic extract of propolis-loaded poly(-lactic-co-glycolic acid) nanoparticles (EEP-PLGA NPs) on wound healing in diabetic rats. Sixty rats were randomized into four groups of 15 rats each: In control group (Control) diabetic wound was treated with normal saline. In Carrier 1 group diabetic wound was treated with PLGA nanoparticles based solution. In Carrier 2 group the diabetic wound was treated with EEP. In Treatment group animals received EEP-PLGA NPs on the wound. Wound size was measured on 7, 14 and 21 days after surgery. The expression of p53, bcl-2, Caspase III, were evaluated using reverse-transcription PCR and Immunohistochemical staining. The Treatment group had significantly reduced the wound size compared to other groups ( P = 0.001). histological and morphometric studies, and mean rank of the qualitative studies demonstrated that there was significant difference between Treatment group and other groups ( P < .05). Observations demonstrated that ethanolic extract of propolis-loaded PLGA nanoparticles significantly shortened the inflammatory phase and accelerated the cellular proliferation. Accordingly, the animals in Treatment group revealed significantly ( P < .05) higher fibroblast distribution/one mm2 of wound area and rapid re epithelialization. The mRNA levels of bcl-2, p53 and caspase III were remarkably ( P < .05) higher in Treatment group compared to control and animals. The immunohistochemical analyzes confirmed the RT-PCR findings. EEP-PLGA NPs offered potential advantages in wound healing acceleration and improvement through angiogenesis stimulation, fibroblast proliferation and granulation tissue formation in early days of healing phases, acceleration in diabetic wound repair associated with earlier wound contraction and stability of damaged area by rearrangement of granulation tissue and collagen fibers.


Author(s):  
Sema Arisoy ◽  
Tansel Comoglu

Levodopa is used for the treatment of Parkinson’s disease (PD) for the last few decades. However, adverse reactions such as dyskinesia, somnolence, nausea, itching, rash, as well as the need for frequent dosing and low bioavailability problems affect the success of the treatment. To prevent side effects caused by conventional therapy, a nanoparticular drug delivery system has been developed, in which receptors are constantly stimulated, and the frequency of dosing is reduced. In this study, levodopa was loaded in Poly lactic-co-glycolic acid (PLGA) nanoparticles (NP) which modified with Wheat Germ Agglutinin (WGA) To increase the effectiveness of levodopa, reduce its side effects and apply to the nasal area which is an alternative way for brain targeting with lower doses. To obtain the optimum levodopa loaded PLGA nanoparticles, the effect of some formulation variables such as polyvinyl alcohol (PVA) concentration, homogenization speed, polymer amount and molecular weight, and levodopa content on the entrapment efficiency (EE) and particle size of the nanoparticles were investigated. Besides these variables, the effect of different parameters on the WGA binding constant was also searched. In addition to in vitro release studies, Differential Scanning Calorimetry (DSC) and Fourier Transform Infrared Spectrophotometer (FT-IR), and Transmission electron microscopy (TEM) analysis were used in the characterization of nanoparticles. Among all formulations, A2 and A8a which was produced with different molcular weights of PLGA, different added levodopa amounts and with different homogenization speeds were chosen as optimum formulations due to their sustained release properties and the ability to release 80 % of their drug content.WGA binding constant was found 78.20 % for A8a-1 and 95 % for A2-1. In this study, we aimed to determine the effect of different formulation parameters on the development of levodopa loaded and WGA grafted PLGA nanoparticles and on the quality characteristics of nanoparticle formulations such as particle size, zeta potential, and EE. In this paper, our results are demonstrated for a better understanding of the effect of process parameters on the development of nanoparticle-based drug delivery systems by using the double-emulsion solvent evaporation technique and on WGA binding of drug-loaded PLGA nanoparticles.


Author(s):  
Yongxiang Zhao ◽  
Xinjing Lv ◽  
Jie Huang ◽  
Huiting Zhou ◽  
Hairong Wang ◽  
...  

AbstractSepsis, a life-threatening organ dysfunction induced by severe infection and uncontrolled host immune response, threatens the health of people all over the world. Herein, a type of nanoparticle formulation with simple components is synthesized by encapsulating monophosphoryl lipid A (MPLA), a TLR4 agonist, with poly(lactic-co-glycolic acid) (PLGA) nanoparticle. The obtained nanoparticles (MPLA@PLGA) could provide Escherichia coli (E. coli)-induced sepsis protection by regulating the immune system after sepsis challenge, including promoting the levels of various cytokines, boosting the percentage of natural killer cells and accelerating bacterial clearance. Notably, the survival mice pre-treated with these nanoparticles could resist repeated E. coli-induced sepsis. Our work therefore provides the great promise of MPLA@PLGA nanoparticles as a simple yet effective nano-drug for prevention and protection against E. coli-induced sepsis.


Nanoscale ◽  
2022 ◽  
Author(s):  
Lin-yu Long ◽  
Wenqi Liu ◽  
Li Li ◽  
Cheng Hu ◽  
Shuyi He ◽  
...  

The first recombinant humanized collagen type III (rhCol III) and naproxen (Nap) loaded poly(lactic-co-glycolic acid) (PLGA) nanoparticles incorporated hyaluronic acid (HA) microneedle (MN) was fabricated for diabetic chronic wounds therapy.


2022 ◽  
Vol 30 (1) ◽  
pp. 1-2
Author(s):  
Kobra Rostamizadeh ◽  
Parivash Ghaderinia ◽  
Reza Shapoury ◽  
Alireza Khodavandi ◽  
Mehdi Mahdavi ◽  
...  

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