Translation from SCD Mouse to Man: Chronic Administration of Tucaresol Reduces RBC Sickling and Improves Hematological Parameters, but Does Not Impact Inflammatory Markers in SCD Model Mice

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 3644-3644
Author(s):  
Kelly Marie Knee ◽  
Reema Jasuja ◽  
Amey Barakat ◽  
John J. Kelly ◽  
Joseph C. Nneji ◽  
...  

Abstract Sickle cell disease is a hematological disorder with significant unmet need that affects approximately ten million people worldwide. Currently, treatment for SCD is limited to a single approved drug, Hydroxyurea, and palliative treatments such as hydration and pain management. The limited treatment options have led to considerable interest in developing new therapies for SCD. One strategy for a disease-modifying treatment for SCD is stabilization of the oxygenated form of hemoglobin (OxyHb) by a small molecule allosteric modulator (Zaugg et. Al, JBC, 1977). One such compound, Tucaresol was advanced into clinical trials on the strength of the pre-clinical data, however a SCD mouse model was unavailable when the trial was initiated. The renewed interest in stabilizing OxyHb with a small molecule presents an opportunity to use Tucaresol as a mechanism for understanding the translation between effects seen in an animal model and clinical endpoints in patients. In this study, we treated Townes SCD mice with Tucaresol for 15 days, to evaluate its effect on hematology, oxygen affinity, sickling and markers of inflammation in vivo. These results are compared to the clinical data reported in the original trials. Tucaresol is a substituted benzaldehyde derived from a class of molecules known to preferentially bind to hemoglobin and stabilize the oxygenated state by formation of a Schiff base linkage at a site on the a-chains (Rolan et. Al, Br. J. Clin. Pharm., 1995). Earlier molecules acting by this mechanism had been shown to reduce Hb S polymerization and RBC sickling in vitro, and it was theorized that long-term treatment with such molecules would impact hemolysis and occurrence of vaso-occlusive crisis (VOC) (Beddell et. Al, Br. J. Pharmac. 1984). Preclinical studies demonstrated Tucaresol modification of Hb S delays the polymerization process and inhibits RBC sickling. In clinical trials, Tucaresol positively impacted hematological markers including hemoglobin and reticulocyte counts, and reduced the percentage of irreversibly sickled cells. However, trials of Tucaresol were halted due to a significant immune response and specific inflammatory markers were not measured during the trial. To study these effects in Townes SCD model, mice were dosed with Tucaresol at 30 mg/kg twice a day, for fifteen days. The dose was selected to be consistent with clinical dosing regimens. Blood was collected prior to study start from individual animals to obtain baseline levels for hematological parameters and soluble cell adhesion molecules in plasma. Blood was sampled at day 3 and day 10 of dosing to understand drug exposure and accumulation. At this dose, Tucaresol demonstrated a steady state achieved by day 10 and the blood concentration ranged from 0.5-1.6 mM on day 15. Following two week dosing with Tucaresol, we observed a 50% increase in hemoglobin, and 24% increase in mean corpuscular hemoglobin concentration (MCHC), relative to vehicle treated animals. Reticulocytes, a clinical indicator of hemolytic anemia, are highly elevated in SCD patients and mice, also showed a 47% decrease in Tucaresol treated relative to vehicle treated animals. Oxygen affinity measurements showed a decrease in P50 and P20 values for treated animals, indicating increased oxygen affinity, consistent with the proposed mode of action of Tucaresol- stabilization of the oxygenated state. The percentage of sickled erythrocytes was also decreased by 38% in Tucaresol treated SCD mice when compared to vehicle controls. The decrease in sickling is consistent with the clinical observation of a 52% (mean) decrease in irreversibly sickled cells. In contrast to the improvement seen with hematological parameters, inflammatory markers remained either unchanged or slightly elevated after 15 days of treatment with Tucaresol. Plasma levels of sICAM-1 and sVCAM-1 were unchanged while sE-Selectin was elevated. In summary, in this short course of treatment of SCD mice, Tucaresol had an impact on the hematological markers that was consistent with effects observed in the clinic, but did not modulate the inflammation response. All experiments were within guidelines and were reviewed and approved by Pfizer institutional animal care and use committee. Disclosures Knee: Pfizer Inc: Employment. Jasuja:Pfizer: Employment. Barakat:Pfizer: Employment. Kelly:Pfizer: Employment. Singh:Pfizer Inc: Employment. Janz:Pfizer: Employment.

2019 ◽  
Vol 20 (11) ◽  
pp. 1091-1111 ◽  
Author(s):  
Maryam Zanjirband ◽  
Soheila Rahgozar

MDM2 protein is the core negative regulator of p53 that maintains the cellular levels of p53 at a low level in normal cells. Mutation of the TP53 gene accounts for 50% of all human cancers. In the remaining malignancies with wild-type TP53, p53 function is inhibited through other mechanisms. Recently, synthetic small molecule inhibitors have been developed which target a small hydrophobic pocket on MDM2 to which p53 normally binds. Given that MDM2-p53 antagonists have been undergoing clinical trials for different types of cancer, this review illustrates different aspects of these new cancer targeted therapeutic agents with the focus on the major advances in the field. It emphasizes on the p53 function, regulation of p53, targeting of the p53-MDM2 interaction for cancer therapy, and p53-dependent and -independent effects of inhibition of p53-MDM2 interaction. Then, representatives of small molecule MDM2-p53 binding antagonists are introduced with a focus on those entered into clinical trials. Furthermore, the review discusses the gene signatures in order to predict sensitivity to MDM2 antagonists, potential side effects and the reasons for the observed hematotoxicity, mechanisms of resistance to these drugs, their evaluation as monotherapy or in combination with conventional chemotherapy or with other targeted therapeutic agents. Finally, it highlights the certainly intriguing questions and challenges which would be addressed in future studies.


Author(s):  
Subha Sankar Paul ◽  
Goutam Biswas

: COVID-19 is a public health emergency of international concern. Although, considerable knowledge has been acquired with time about the viral mechanism of infection and mode of replication, yet no specific drugs or vaccines have been discovered against SARS-CoV-2, till date. There are few small molecule antiviral drugs like Remdesivir and Favipiravir which have shown promising results in different advanced stage of clinical trials. Chloroquinine, Hydroxychloroquine, and Lopinavir-Ritonavir combination, although initially was hypothesized to be effective against SARS-CoV-2, are now discontinued from the solidarity clinical trials. This review provides a brief description of their chemical syntheses along with their mode of action and clinical trial results available in Google and different peer reviewed journals till 24th October 2020.


2019 ◽  
Vol 14 (3) ◽  
pp. 160-172 ◽  
Author(s):  
Aynaz Nourani ◽  
Haleh Ayatollahi ◽  
Masoud Solaymani Dodaran

Background:Data management is an important, complex and multidimensional process in clinical trials. The execution of this process is very difficult and expensive without the use of information technology. A clinical data management system is software that is vastly used for managing the data generated in clinical trials. The objective of this study was to review the technical features of clinical trial data management systems.Methods:Related articles were identified by searching databases, such as Web of Science, Scopus, Science Direct, ProQuest, Ovid and PubMed. All of the research papers related to clinical data management systems which were published between 2007 and 2017 (n=19) were included in the study.Results:Most of the clinical data management systems were web-based systems developed based on the needs of a specific clinical trial in the shortest possible time. The SQL Server and MySQL databases were used in the development of the systems. These systems did not fully support the process of clinical data management. In addition, most of the systems lacked flexibility and extensibility for system development.Conclusion:It seems that most of the systems used in the research centers were weak in terms of supporting the process of data management and managing clinical trial's workflow. Therefore, more attention should be paid to design a more complete, usable, and high quality data management system for clinical trials. More studies are suggested to identify the features of the successful systems used in clinical trials.


2019 ◽  
Vol 14 (1) ◽  
pp. 10-23 ◽  
Author(s):  
Aynaz Nourani ◽  
Haleh Ayatollahi ◽  
Masoud Solaymani Dodaran

Background:A clinical data management system is a software supporting the data management process in clinical trials. In this system, the effective support of clinical data management dimensions leads to the increased accuracy of results and prevention of diversion in clinical trials. The aim of this review article was to investigate the dimensions of data management in clinical data management systems.Methods:This study was conducted in 2017. The used databases included Web of Science, Scopus, Science Direct, ProQuest, Ovid Medline and PubMed. The search was conducted over a period of 10 years from 2007 to 2017. The initial number of studies was 101 reaching 19 in the final stage. The final studies were described and compared in terms of the year, country and dimensions of the clinical data management process in clinical trials.Results:The research findings indicated that none of the systems completely supported the data management dimensions in clinical trials. Although these systems were developed for supporting the clinical data management process, they were similar to electronic data capture systems in many cases. The most significant dimensions of data management in such systems were data collection or entry, report, validation, and security maintenance.Conclusion:Seemingly, not sufficient attention has been paid to automate all dimensions of the clinical data management process in clinical trials. However, these systems could take positive steps towards changing the manual processes of clinical data management to electronic processes.


2008 ◽  
Vol 4 ◽  
pp. T463-T463 ◽  
Author(s):  
Alan D. Snow ◽  
Joel A. Cummings ◽  
Thomas P. Lake ◽  
Luke A. Esposito ◽  
F. Michael Hudson ◽  
...  

Cancers ◽  
2018 ◽  
Vol 10 (6) ◽  
pp. 155 ◽  
Author(s):  
Martina Gatzka

Over the last decade, the treatment of tumor patients has been revolutionized by the highly successful introduction of novel targeted therapies, in particular small-molecule kinase inhibitors and monoclonal antibodies, as well as by immunotherapies. Depending on the mutational status, BRAF and MEK inhibitor combinations or immune checkpoint inhibitors are current first-line treatments for metastatic melanoma. However, despite great improvements of survival rates limitations due to tumor heterogeneity, primary and acquired therapy resistance, immune evasion, and economical considerations will need to be overcome. Accordingly, ongoing clinical trials explore the individualized use of small-molecule drugs in new targeted therapy combinations based on patient parameters and tumor biopsies. With focus on melanoma therapy this review aims at providing a comprehensive overview of such novel alternative and combinational therapy strategies currently emerging from basic research. The molecular principles and drug classes that may hold promise for improved tumor therapy combination regimens including kinase inhibition, induction of apoptosis, DNA-damage response inhibition, epigenetic reprogramming, telomerase inhibition, redox modulation, metabolic reprogramming, proteasome inhibition, cancer stem cell transdifferentiation, immune cell signaling modulation, and others, are explained in brief. In addition, relevant targeted therapy combinations in current clinical trials and individualized treatment strategies are highlighted.


2021 ◽  
Author(s):  
Abhijit Duggal ◽  
Rachel kast ◽  
Emily Van Ark ◽  
Lucas Bulgarelli ◽  
Matthew Siuba ◽  
...  

Rationale: The acute respiratory distress syndrome (ARDS) is a heterogenous condition, and identification of subphenotypes may help in better risk stratification. Objectives: Identify ARDS subphenotypes using new simpler methodology and readily available clinical variables. Design: Retrospective Cohort Study of ARDS trials. Setting: Data from the U.S. ARDSNet trials and from the international ART trial. Participants: 3763 patients from ARDSNet datasets and 1010 patients from the ART dataset. Primary and secondary outcome measures: The primary outcome was 60-day or 28-day mortality, depending on what was reported in the original trial. K-means cluster analysis was performed to identify subgroups. For feature selection, sets. Sets of candidate variables were tested to assess their ability to produce different probabilities for mortality in each cluster. Clusters were compared to biomarker data, allowing identification of subphenotypes. Results: Data from 4,773 patients was analyzed. Two subphenotypes (A and B) resulted in optimal separation in the final model, which included nine routinely collected clinical variables, namely: heart rate, mean arterial pressure, respiratory rate, bilirubin, bicarbonate, creatinine, PaO2, arterial pH, and FiO2. Participants in subphenotype B showed increased levels of pro-inflammatory markers, had consistently higher mortality, lower number of ventilator-free days at day 28, and longer duration of ventilation compared to patients in the subphenotype A. Conclusions: Routinely available clinical data can successfully identify two distinct subphenotypes in adult ARDS patients. This work may facilitate implementation of precision therapy in ARDS clinical trials.


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