Comparison of Clopidogrel Versus Ticagrelor for Percutaneous Coronary Intervention (PCI) Patients Managed with Therapeutic Hypothermia: A Systematic Review and Meta-Analysis

Various antiplatelet drugs, such as clopidogrel and ticagrelor, are available on the market for use after percutaneous coronary intervention (PCI). However, the efficacy of such drugs in patients being managed with therapeutic hypothermia (TH) has always been debated. In light of this controversy, this systematic review and meta-analysis was performed to enhance existing literature. Various databases were searched for potentially relevant studies from inception to April 2023, including PubMed, Cochrane Library, and Scopus. The risk of bias was assessed using the Newcastle-Ottawa scale for cohort studies and the Cochrane risk of bias tool for randomized controlled trials. Outcomes of interest included risk of bleeding, stent thrombosis, and all-cause mortality. Five studies were shortlisted for inclusion into the meta-analysis, featuring a total of 245 patients receiving either clopidogrel or ticagrelor. Overall, no significant differences were noted when the use of clopidogrel and ticagrelor was compared in PCI patients being managed with TH. To the best of our knowledge, this is the most comprehensive meta-analysis comparing the outcomes of clopidogrel and ticagrelor in PCI patients being managed with TH. Despite existing studies claiming an altered efficacy of clopidogrel in such conditions, our meta-analytic findings could not prove this relationship. Due to the limited sample size, further comprehensive and randomized studies are encouraged to arrive at a robust conclusion.

Halogens engineering-based design of agonists for boosting expression of frataxin protein in Friedreich's ataxia

OBJECTIVE

Decreased expression of the mitochondrial protein frataxin is the cause of the neurodegenerative disorder Friedreich's ataxia. In patients with cardiac disorders, the death rate of this disease is very high, up to 66%. In order to combat Friedreich ataxia, which is a potentially toxic disorder, de novo drug discovery and design have been created utilizing the approach of compound engineering with halogens. This study aimed to investigate the potential for effective treatment of Friedreich ataxia.

MATERIALS AND METHODS

The screening of twenty different agonist compounds was carried out in order to find the most promising agonist compound that may be used for molecular docking prediction against the Frataxin Protein. The compound with the lowest binding energies is then optimized by halogens. The final candidate's drug-like properties are identified through Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) profiling. Lipinski's rule of five was checked. Molecular dynamic stimulations were evaluated.

RESULTS

The most potent agonist compound was identified out of twenty different compounds utilizing a docking approach against the Frataxin Protein. The compound with the lowest binding energies was next subjected to optimization by halogens. The optimized agonist 9-[1-[(1S, 5R)-8, 8-dimethyl-8-azoniabicyclo[3.2.1]octan-3-yl]triazol-4-yl]fluoren-9-ol  has higher binding energy of -10.4Kcal/mol with molecular weight of 705.63 g/mol. Drug-like properties are identified through ADMET profiling, having water solubility of about -7.59, skin permeation -7.08 cm/s, bioavailability score 0.17, and high GI absorption. The candidate fulfills the Lipinski rule of five and portrays efficient molecular dynamic stimulations.

CONCLUSIONS

The selected agonist is one of the most potent compounds in increasing Frataxin protein expression. Furthermore, optimization with halogens can be a productive approach to improve the candidate's drug efficacy. The development of effective medications for the treatment of Friedreich ataxia would be aided by the results of these computational investigations.

Side chain inset of neurogenerative amino acids to metalloproteins: a therapeutic signature for huntingtin protein in Huntington's disease

OBJECTIVE

Huntington's disease is a dominant autosomal inherited neurodegenerative disease that results in progressive impairment, characterized by dementia, chorea, and behavioral and cognitive decline. The objective of this study was to investigate the potential activity of metalloproteins against the huntingtin protein using various insertion-based engineering computational methods. Metalloproteins, metal protein complexes involved in important biochemical and physiological processes, were explored as potential drug candidates for Huntington's disease.

MATERIALS AND METHODS

A total of 18 metalloproteins were selected as drug candidates and studied to assess their potential inhibitory effects on the huntingtin protein. The screening process was based on the lowest binding energy. The metalloprotein with the lowest docking score was chosen for side chain insertion of neurogenerative amino acids. The engineered metalloprotein was then evaluated based on physiochemical properties, allergenicity, toxicity, and surface accessibility. Cloning and expression analysis was performed to further investigate its potential as a therapeutic agent.

RESULTS

The metalloprotein chosen for side chain insertion, cytochrome C oxidase, showed promising results. It was computed as a probable non-allergen and exhibited no toxic domains, indicating its non-toxic nature. Additionally, it demonstrated a strong binding affinity with the huntingtin protein, with a binding energy of -1,253.3 Kcal/mol.

CONCLUSIONS

Metal-based proteins, when engineered with additional neurogenerative amino acids, hold potential as drug candidates for treating neurodegenerative diseases such as Huntington's disease. The successful development of these engineered metalloproteins could offer therapeutic advantages. Further testing, both in vitro and in vivo, is necessary to evaluate their efficacy and validate their potential activity as novel drugs for the treatment of neurodegenerative diseases.