Polydopamine may be easily functionalized with a range of nanomaterials for synergistic cancer therapy, in addition to its exceptional photothermal effects

2021 ◽  
Author(s):  
Moataz Dowaidar

This review carefully reviewed recent polydopamine (PDA) research, including targeted therapy and cancer synergistic medications. Recent breakthroughs in photothermal treatment coupled with complex therapies such as gene therapy, radiation, and especially immunotherapy were highlighted. Due to their exceptional biocompatibility, degradability, low toxicity and high photothermal conversion efficiency, facile oxidative self-polymerization of dopamine can create PDA and serve as an excellent nanocarrier or photothermal cancer treatment agent. Due to its high adhesive capacity, PDA may be easily functionalized with a range of nanomaterials for synergistic cancer therapy, in addition to its exceptional photothermal effects. Although PDA-based multifunctional nanoplatforms have gained interest for synergistic cancer therapy, such as chemo-photothermal treatment and photodynamic-photothermal treatment, discovering novel uses for PDA remains tough. First, despite its easy and mild process of synthesis, large-scale synthesis with uniform size and thickness is challenging owing to the absence of consistent quality control standards. Second, due to the strong adhesive properties of PDA, multifunctional nanoplatforms are prone to aggregating in a solution. Third, to improve PDA's clinical application, its safety should be fully researched. Before being deployed in clinical settings, PDA-based multifunctional systems need additional research. A PDA-based multifunctional platform for better synergistic cancer treatment is a forward-looking strategy. In particular, PDA-based immunotherapy systems will remain a research center.Besides immunotherapy, in recent years, the integration of cancer diagnosis and treatment has gained a lot of publicity. Polyphenols have been proven to suppress tumor development and interact with metals such as Fe3+, Pt4+, Cu2+, etc (MPNs). MPNs are biocompatible, functional, pH-responsive and can escape endosomes. PDA has the potential to develop MPNs with contrasting magnetic resonance agents like gadolinium due to the enormous quantity of catechol groups on its surface, allowing magnetic resonance imaging. Polyphenols also have tumor-inhibiting effects, and PDA's photothermal activity can ablate tumors. Consequently, PDA-based MPNs might be a promising way to integrate diagnosis and treatment. Moreover, polydopamine can crosslink acrylamide and other polymers to form anticancer and antibacterial hydrogels. Increasing the stickiness of polydopamine hydrogels is now underway, paving the path for self-adhesive bioelectronics hydrogels. Bioelectron self-adhesion and other capabilities such as self-healing, transparency, and bacterio-toxicity may be supplied to polydopamine hydrogels by altering phenolquinone's redox process. A prospective future trend is using self-adhesive polydopamine hydrogels with current bioelectronic materials. We think that polydopamine hydrogels will eventually advance from skin patches to implantable integrated bioelectronics.

NANO ◽  
2021 ◽  
pp. 2150113
Author(s):  
Yingying Nie ◽  
Zengjie Fan

The lack of targeting selection to lysosome limits the application of graphene quantum dots (GQDs) in the diagnosis and treatment of lysosome-related disease. In this study, we developed a facile, environmentally friendly and large-scale method to prepare [Formula: see text]-aminomorpholine (Am)-modified GQDs (Am-GQDs) via a simple hydrothermal method. The physicochemical, optical, biocompatible and targeted imaging properties were evaluated systematically. The results indicated that the synthesized Am-GQDs had a uniform size distribution and the size was around 2[Formula: see text]nm. In addition, the synthesized Am-GQDs had excellent optical properties, fluorescent stability, and good biocompatibility. More importantly, they can selectively target and image lysosome in a relatively short coculture time with cells, demonstrating their application potential in the diagnosis and treatment of lysosomal-related diseases.


2018 ◽  
Vol 21 (2) ◽  
pp. 74-83
Author(s):  
Tzu-Hung Hsiao ◽  
Yu-Chiao Chiu ◽  
Yu-Heng Chen ◽  
Yu-Ching Hsu ◽  
Hung-I Harry Chen ◽  
...  

Aim and Objective: The number of anticancer drugs available currently is limited, and some of them have low treatment response rates. Moreover, developing a new drug for cancer therapy is labor intensive and sometimes cost prohibitive. Therefore, “repositioning” of known cancer treatment compounds can speed up the development time and potentially increase the response rate of cancer therapy. This study proposes a systems biology method for identifying new compound candidates for cancer treatment in two separate procedures. Materials and Methods: First, a “gene set–compound” network was constructed by conducting gene set enrichment analysis on the expression profile of responses to a compound. Second, survival analyses were applied to gene expression profiles derived from four breast cancer patient cohorts to identify gene sets that are associated with cancer survival. A “cancer–functional gene set– compound” network was constructed, and candidate anticancer compounds were identified. Through the use of breast cancer as an example, 162 breast cancer survival-associated gene sets and 172 putative compounds were obtained. Results: We demonstrated how to utilize the clinical relevance of previous studies through gene sets and then connect it to candidate compounds by using gene expression data from the Connectivity Map. Specifically, we chose a gene set derived from a stem cell study to demonstrate its association with breast cancer prognosis and discussed six new compounds that can increase the expression of the gene set after the treatment. Conclusion: Our method can effectively identify compounds with a potential to be “repositioned” for cancer treatment according to their active mechanisms and their association with patients’ survival time.


2020 ◽  
Vol 20 (11) ◽  
pp. 1276-1287 ◽  
Author(s):  
Tran Q. Huy ◽  
Pham T.M. Huyen ◽  
Anh-Tuan Le ◽  
Matteo Tonezzer

Background: Silver nanoparticles (AgNPs) are well-known as a promising antimicrobial material; they have been widely used in many commercial products against pathogenic agents. Despite a growing concern regarding the cytotoxicity, AgNPs still have attracted considerable interest worldwide to develop a new generation of diagnostic tool and effective treatment solution for cancer cells. Objective: This paper aims to review the advances of AgNPs applied for cancer diagnosis and treatment. Methods: The database has been collected, screened and analysed through up-to-date scientific articles published from 2007 to May 2019 in peer-reviewed international journals. Results: The findings of the database have been analysed and divided into three parts of the text that deal with AgNPs in cancer diagnosis, their cytotoxicity, and the role as carrier systems for cancer treatment. Thanks to their optical properties, high conductivity and small size, AgNPs have been demonstrated to play an essential role in enhancing signals and sensitivity in various biosensing platforms. Furthermore, AgNPs also can be used directly or developed as a drug delivery system for cancer treatment. Conclusion: The review paper will help readers understand more clearly and systematically the role and advances of AgNPs in cancer diagnosis and treatment.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Mayank Garg ◽  
Jia En Aw ◽  
Xiang Zhang ◽  
Polette J. Centellas ◽  
Leon M. Dean ◽  
...  

AbstractBioinspired vascular networks transport heat and mass in hydrogels, microfluidic devices, self-healing and self-cooling structures, filters, and flow batteries. Lengthy, multistep fabrication processes involving solvents, external heat, and vacuum hinder large-scale application of vascular networks in structural materials. Here, we report the rapid (seconds to minutes), scalable, and synchronized fabrication of vascular thermosets and fiber-reinforced composites under ambient conditions. The exothermic frontal polymerization (FP) of a liquid or gelled resin facilitates coordinated depolymerization of an embedded sacrificial template to create host structures with high-fidelity interconnected microchannels. The chemical energy released during matrix polymerization eliminates the need for a sustained external heat source and greatly reduces external energy consumption for processing. Programming the rate of depolymerization of the sacrificial thermoplastic to match the kinetics of FP has the potential to significantly expedite the fabrication of vascular structures with extended lifetimes, microreactors, and imaging phantoms for understanding capillary flow in biological systems.


Author(s):  
Gang Wu ◽  
Bao Jiang ◽  
Lin Zhou ◽  
Ao Wang ◽  
Shaohua Wei

Activated carbon nanoparticles (ANs) were synthesized from coconut shell. ANs show peroxidase and photothermal conversion activities, allowing synergistic cancer treatment via chemodynamic therapy (CDT) and photothermal therapy (PTT).


2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Ruixue Huang ◽  
Ping-Kun Zhou

AbstractGenomic instability is the hallmark of various cancers with the increasing accumulation of DNA damage. The application of radiotherapy and chemotherapy in cancer treatment is typically based on this property of cancers. However, the adverse effects including normal tissues injury are also accompanied by the radiotherapy and chemotherapy. Targeted cancer therapy has the potential to suppress cancer cells’ DNA damage response through tailoring therapy to cancer patients lacking specific DNA damage response functions. Obviously, understanding the broader role of DNA damage repair in cancers has became a basic and attractive strategy for targeted cancer therapy, in particular, raising novel hypothesis or theory in this field on the basis of previous scientists’ findings would be important for future promising druggable emerging targets. In this review, we first illustrate the timeline steps for the understanding the roles of DNA damage repair in the promotion of cancer and cancer therapy developed, then we summarize the mechanisms regarding DNA damage repair associated with targeted cancer therapy, highlighting the specific proteins behind targeting DNA damage repair that initiate functioning abnormally duo to extrinsic harm by environmental DNA damage factors, also, the DNA damage baseline drift leads to the harmful intrinsic targeted cancer therapy. In addition, clinical therapeutic drugs for DNA damage and repair including therapeutic effects, as well as the strategy and scheme of relative clinical trials were intensive discussed. Based on this background, we suggest two hypotheses, namely “environmental gear selection” to describe DNA damage repair pathway evolution, and “DNA damage baseline drift”, which may play a magnified role in mediating repair during cancer treatment. This two new hypothesis would shed new light on targeted cancer therapy, provide a much better or more comprehensive holistic view and also promote the development of new research direction and new overcoming strategies for patients.


Author(s):  
Wael Hamza Kamr ◽  
Mohamed Gaber Eissawy ◽  
Amr Saadawy

Abstract Background Early diagnosis of meningitis with magnetic resonance imaging (MRI) would be useful for appropriate and effective management, decrease morbidity and mortality, and provide better diagnosis and treatment. The objective of the current study is to compare the accuracy of contrast-enhanced FLAIR (CE-FLAIR) and contrast-enhanced T1WI (CE-T1WI) in the detection of meningeal abnormalities in suspected cases of meningitis. Results Out of 45 patients, 37 patients were confirmed to have meningitis on CSF analysis. Out of the 37 patients, 34 patients were positive on CE-FLAIR sequence and 27 were positive on CE-T1WI. The sensitivity of CE-FLAIR sequence was 91.9% and specificity 100%, while the sensitivity of CE-T1WI sequence was 73% and specificity 100%. Conclusion CE-FLAIR is more sensitive than CE-T1WI in diagnosis of meningitis. It is recommended to be used in any cases with clinically suspected meningitis.


Catalysts ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 431
Author(s):  
Tentu Nageswara Rao ◽  
Nalla Krishnarao ◽  
Faheem Ahmed ◽  
Suliman Yousef Alomar ◽  
Fadwa Albalawi ◽  
...  

A simple and highly efficient protocol for the synthesis of derivatives 7, 7-dimethyl-4-phenyl-2-thioxo-2, 3, 4, 6, 7, 8-hexahydro-1H-quinazoline-5-one from 5, 5-dimethyl cyclohexane-1, 3-dione (4a–4h) (dimedone) has been described. The aryl aldehydes were substituted with thiourea in the presence of synthesized zinc ferrite nanocatalyst, which increased the yield under reflux through condensation, followed by cyclization to give desired products. The other advantages are that it is eco-friendly and economically affordable for large-scale production. Structural validation and characterization of all the newly synthesized compounds were evaluated by spectral analysis (mass spectrometry, proton nuclear magnetic resonance (1HNMR), and Carbon-13 nuclear magnetic resonance(13CNMR)spectroscopies. The structure of antibacterial and antifungal assays was performed with the newly synthesized compounds. The antimicrobial activity of title compounds possessing electron-withdrawing groups such as (4e–4h) (Cl, Br, and cyano group) exhibited more active potential than the electron-donating groups, C6H5,4-C6H4, 3-OC2H5-4OH-C6H3, etc., (4a–4d) containing moiety.


2021 ◽  
Vol 7 (2) ◽  
pp. 18
Author(s):  
Germana Landi ◽  
Fabiana Zama ◽  
Villiam Bortolotti

This paper is concerned with the reconstruction of relaxation time distributions in Nuclear Magnetic Resonance (NMR) relaxometry. This is a large-scale and ill-posed inverse problem with many potential applications in biology, medicine, chemistry, and other disciplines. However, the large amount of data and the consequently long inversion times, together with the high sensitivity of the solution to the value of the regularization parameter, still represent a major issue in the applicability of the NMR relaxometry. We present a method for two-dimensional data inversion (2DNMR) which combines Truncated Singular Value Decomposition and Tikhonov regularization in order to accelerate the inversion time and to reduce the sensitivity to the value of the regularization parameter. The Discrete Picard condition is used to jointly select the SVD truncation and Tikhonov regularization parameters. We evaluate the performance of the proposed method on both simulated and real NMR measurements.


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