scholarly journals Photodynamic Therapy: A Brief History

2019 ◽  
Vol 8 (10) ◽  
pp. 1581 ◽  
Author(s):  
David Kessel

Photodynamic therapy (PDT) involves the selective sensitization of tissues to light. A major advance in the field occurred when Thomas Dougherty at the Roswell Park Cancer Institute initiated a series of clinical studies that eventually led to FDA approval of the procedure. This report contains a summary of Dougherty’s contributions and an assessment of where this has led, along with a summary of implications for future drug development.

2011 ◽  
Vol 1 (2) ◽  
pp. 137-151
Author(s):  
Ryogo Minamimoto ◽  
Chumpol Theeraladanon ◽  
Akiko Suzuki ◽  
Tomio Inoue

2019 ◽  
Vol 39 (2) ◽  
pp. 141-150
Author(s):  
Nicola J. Stagg ◽  
Hanan N. Ghantous ◽  
Robert Roth ◽  
Kenneth L. Hastings

Nonclinical toxicology studies are conducted to characterize the potential toxicities and establish a safe starting dose for new drugs in clinical studies, but the question remains as to how predictable/translatable the nonclinical safety findings are to humans. In many cases, there is good concordance between nonclinical species and patients. However, there are cases for which there is a lack of predictivity or translatability that led to early termination of clinical studies due to unanticipated toxicities or early termination of programs before making it to the clinic due to unacceptable nonclinical toxicities assumed to be translatable. A few case examples of safety findings that are translatable versus safety findings that are not translatable and why they are not translateable were presented as a symposium at the 38th Annual Meeting of the American College of Toxicology in Palm Springs, California, and are discussed in this article.


Cancers ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1045
Author(s):  
Marta B. Lopes ◽  
Eduarda P. Martins ◽  
Susana Vinga ◽  
Bruno M. Costa

Network science has long been recognized as a well-established discipline across many biological domains. In the particular case of cancer genomics, network discovery is challenged by the multitude of available high-dimensional heterogeneous views of data. Glioblastoma (GBM) is an example of such a complex and heterogeneous disease that can be tackled by network science. Identifying the architecture of molecular GBM networks is essential to understanding the information flow and better informing drug development and pre-clinical studies. Here, we review network-based strategies that have been used in the study of GBM, along with the available software implementations for reproducibility and further testing on newly coming datasets. Promising results have been obtained from both bulk and single-cell GBM data, placing network discovery at the forefront of developing a molecularly-informed-based personalized medicine.


Photonics ◽  
2021 ◽  
Vol 8 (8) ◽  
pp. 303
Author(s):  
Gerhard Litscher ◽  
Laura Marinela Ailioaie

Up to now it has not yet been scientifically proven whether the technical methods of photonics in the field of photobiomodulation (PBM), photodynamic therapy (PDT), and laser acupuncture in connection with COVID-19 have achieved effective medical success. As part of this short technical note, an overview of the current scientific status is given and new equipment from our own research area is briefly presented. Although there are still many unanswered questions, it seems to be emerging that PBM and PDT in connection with the corresponding photosensitizers may make it appear worthwhile to perform experimental and clinical studies, primarily as so-called home therapy studies. In any case, the technical requirements for this are already in progress.


Author(s):  
Philip S. Murphy ◽  
Neel Patel ◽  
Timothy J. McCarthy

Pharmaceutical research and development requires a systematic interrogation of a candidate molecule through clinical studies. To ensure resources are spent on only the most promising molecules, early clinical studies must understand fundamental attributes of the drug candidate, including exposure at the target site, target binding and pharmacological response in disease. Molecular imaging has the potential to quantitatively characterize these properties in small, efficient clinical studies. Specific benefits of molecular imaging in this setting (compared to blood and tissue sampling) include non-invasiveness and the ability to survey the whole body temporally. These methods have been adopted primarily for neuroscience drug development, catalysed by the inability to access the brain compartment by other means. If we believe molecular imaging is a technology platform able to underpin clinical drug development, why is it not adopted further to enable earlier decisions? This article considers current drug development needs, progress towards integration of molecular imaging into studies, current impediments and proposed models to broaden use and increase impact. This article is part of the themed issue ‘Challenges for chemistry in molecular imaging’.


Author(s):  
Christian Seitz ◽  
Lorenzo Casalino ◽  
Robert Konecny ◽  
Gary Huber ◽  
Rommie E. Amaro ◽  
...  

AbstractInfluenza neuraminidase is an important drug target. Glycans are present on neuraminidase, and are generally considered to inhibit antibody binding via their glycan shield. In this work we studied the effect of glycans on the binding kinetics of antiviral drugs to the influenza neuraminidase. We created all-atom in silico systems of influenza neuraminidase with experimentally-derived glycoprofiles consisting of four systems with different glycan conformations and one system without glycans. Using Brownian dynamics simulations, we observe a two- to eight-fold decrease in the rate of ligand binding to the primary binding site of neuraminidase due to the presence of glycans. These glycans are capable of covering much of the surface area of neuraminidase, and the ligand binding inhibition is derived from glycans sterically occluding the primary binding site on a neighboring monomer. Our work also indicates that drugs preferentially bind to the primary binding site (i.e. the active site) over the secondary binding site, and we propose a binding mechanism illustrating this. These results help illuminate the complex interplay between glycans and ligand binding on the influenza membrane protein neuraminidase.Statement of SignificanceThe influenza glycoprotein neuraminidase is the target for three FDA-approved influenza drugs in the US. However, drug resistance and low drug effectiveness merits further drug development towards neuraminidase, which is hindered by our limited understanding of glycan effects on ligand binding. Generally, drug developers do not include glycans in their development pipelines. Here, we show that even though glycans can reduce drug binding towards neuraminidase, we recommend future drug development work to focus on strong binders with a long lifetime. Furthermore, we examine the binding competition between the primary and secondary binding sites on neuraminidase, leading us to propose a new, to the best of our knowledge, multivalent binding mechanism.


F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 1771 ◽  
Author(s):  
Pradeep Tyagi ◽  
Chan-Hong Moon ◽  
Joseph Janicki ◽  
Jonathan Kaufman ◽  
Michael Chancellor ◽  
...  

Interstitial cystitis/bladder pain syndrome (IC/BPS) is a debilitating condition associated with intense pelvic pain and bladder storage symptoms. Since diagnosis is difficult, prevalence estimates vary with the methodology used. There is also a lack of proven imaging tools and biomarkers to assist in differentiation of IC/BPS from other urinary disorders (overactive bladder, vulvodynia, endometriosis, and prostatitis). Current uncertainty regarding the etiology and pathology of IC/BPS ultimately impacts its timely and successful treatment, as well as hampers future drug development. This review will cover recent developments in imaging methods, such as magnetic resonance imaging, that advance the understanding of IC/BPS and guide drug development.


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