A Global Picture: Therapeutic Perspectives for COVID-19

Immunotherapy, Journal Year: 2022, Volume and Issue: 14(5), P. 351 - 371

Published: Feb. 21, 2022

The COVID-19 pandemic is a lethal virus outbreak by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), which has severely affected human lives and the global economy. most vital part of research development therapeutic agents to design drug products manage efficiently. Numerous attempts have been in place determine optimal dose combination drugs treat disease on scale. This article documents information available SARS-CoV-2 its life cycle, will aid potential treatment options. A consolidated summary several natural repurposed depicted with current vaccine development. People high age, comorbity concomitant illnesses such as overweight, metabolic disorders, pulmonary disease, coronary heart renal failure, fatty liver neoplastic disorders are more prone create serious consequences. also presents an overview post-COVID-19 complications patients.

Language: Английский

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Psychological impacts and online interventions of social isolation amongst older adults during COVID‐19 pandemic: A scoping review

Journal of Advanced Nursing, Journal Year: 2021, Volume and Issue: 78(3), P. 609 - 644

Published: Oct. 9, 2021

Abstract Aim To summarise the psychological impacts of social isolation amongst older adults during COVID‐19 and review benefits limitations online interventions used to combat isolation. Design A scoping was performed. Data Sources systematic search performed from October 2020 January 2021 in seven electronic databases: China National Knowledge Infrastructure (CNKI), PubMed, EMBASE, Cumulative Index Nursing Allied Health Literature (CINAHL), PsycINFO, Cochrane Library Web Science. hand reference lists included papers WHO publications Grey literature carried out Scopus, ProQuest Dissertation Google Scholar. Review Methods Studies were screened, appraised extracted independently by two reviewers. Thematic analysis synthesise data, which presented a descriptive manner organised into categories themes. Results Totally, 33 studies included. Four themes eight sub‐themes emerged: (1) negative experiences isolation, (2) adopting coping behaviours midst COVID‐19, (3) consequences (4) barriers intervention. Conclusion The pandemic has taken an emotional toll on adults’ wellbeing highlighted untapped strengths facing Online interventions, could be new normal COVID era, beneficial combating Strategies various stakeholders recommended tackle interventions. Impact With still progress, this provides insights adults. Nurses community long‐term care facilities adopt strategies intervention better support adults, contribute stronger response system, overall road recovery crisis.

Language: Английский

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Drug targets for COVID-19 therapeutics: Ongoing global efforts

Journal of Biosciences, Journal Year: 2020, Volume and Issue: 45(1)

Published: June 29, 2020

The current global pandemic COVID-19 caused by the SARS-CoV-2 virus has already inflicted insurmountable damage both to human lives and economy. There is an immediate need for identification of effective drugs contain disastrous outbreak. Global efforts are underway at a war footing identify best drug combination address disease. In this review, attempt been made understand life cycle, based on information potential druggable targets against summarized. Also, strategies ongoing future discovery outlined. Given urgency find definitive cure, repurposing being carried out various organizations also described. unprecedented crisis requires extraordinary from scientific community effectively issue prevent further loss health.

Language: Английский

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Re-Routing Drugs to Blood Brain Barrier: A Comprehensive Analysis of Machine Learning Approaches With Fingerprint Amalgamation and Data Balancing

IEEE Access, Journal Year: 2022, Volume and Issue: 11, P. 9890 - 9906

Published: Dec. 29, 2022

Computational drug repurposing is an efficient method to utilize existing knowledge for understanding and predicting their effect on neurological diseases. The ability of a molecule cross the blood-brain barrier primary criteria effective therapy. Thus, accurate predictions by employing Machine learning models can effectively identify candidates that could be repurposed conditions. This study comprehensively analyzes performance well-known machine two different datasets overcome dataset-related biases. We found random forest extratrees (i.e., tree-based ensembled models) have highest accuracy with mol2vec fingerprint BBB permeability prediction, attaining AUC_ROC 0.9453 0.9601 B3DB dataset, respectively. Additionally, we analyzed impact data balancing technique SMOTE) improve specificity models. Finally, explored combinations accuracy. By SMOTE combination, SVC attains 0.9511 dataset. used best-performing dataset evaluate drugs intended repurposing. Model validation predicted non-passage most antihypertensive passage CYP17A1 cancer drugs.

Language: Английский

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Therapeutics of Alzheimer’s Disease: Recent Developments

Antioxidants, Journal Year: 2022, Volume and Issue: 11(12), P. 2402 - 2402

Published: Dec. 3, 2022

With increasing aging, dementia is a growing public health concern globally. Patients with have multiple psychological and behavioral changes, including depression, anxiety, inappropriate behavior, paranoia, agitation, hallucinations. The major types of are Alzheimer's disease (AD), vascular (VCID), Lewy body (LBD), frontotemporal (FTD), mixed (MiAD). Among these, AD the most common form in elderly population. In last three decades, tremendous progress has been made understanding AD's biology progression, particularly its molecular basis, biomarker development, drug discovery. Multiple cellular changes implicated progression AD, amyloid beta, phosphorylated tau, synaptic damage, mitochondrial dysfunction, deregulated microRNAs, inflammatory hormonal deregulation, others; based on these therapeutic strategies developed, which currently being tested animal models human clinical trials. purpose our article to highlight recent strategies' developments, critically discuss current failures, propose new combat this devasting mental illness.

Language: Английский

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Artificial intelligence for dementia research methods optimization

Alzheimer s & Dementia, Journal Year: 2023, Volume and Issue: 19(12), P. 5934 - 5951

Published: Aug. 28, 2023

Abstract Artificial intelligence (AI) and machine learning (ML) approaches are increasingly being used in dementia research. However, several methodological challenges exist that may limit the insights we can obtain from high‐dimensional data our ability to translate these findings into improved patient outcomes. To improve reproducibility replicability, researchers should make their well‐documented code modeling pipelines openly available. Data also be shared where appropriate. enhance acceptability of models AI‐enabled systems users, prioritize interpretable methods provide how decisions generated. Models developed using multiple, diverse datasets robustness, generalizability, reduce potentially harmful bias. clarity reproducibility, adhere reporting guidelines co‐produced with multiple stakeholders. If overcome, AI ML hold enormous promise for changing landscape research care. Highlights Machine diagnosis, prevention, management dementia. Inadequate procedures affects reproduction/replication results. built on unrepresentative do not generalize new datasets. Obligatory metrics certain model structures use cases have been defined. Interpretability trust predictions barriers clinical translation.

Language: Английский

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Repurposing Drugs via Network Analysis: Opportunities for Psychiatric Disorders

Pharmaceutics, Journal Year: 2022, Volume and Issue: 14(7), P. 1464 - 1464

Published: July 14, 2022

Despite advances in pharmacology and neuroscience, the path to new medications for psychiatric disorders largely remains stagnated. Drug repurposing offers a more efficient pathway compared with de novo drug discovery lower cost less risk. Various computational approaches have been applied mine vast amount of biomedical data generated over recent decades. Among these methods, network-based stands out as potent tool comprehension multiple domains knowledge considering interactions or associations various factors. Aligned well poly-pharmacology paradigm shift discovery, offer great opportunities discover candidates complex disorders. In this review, we present potential psychiatry focusing on incentives using network-centric repurposing, major strategies resources, applications challenges repurposing. This review aims provide readers an update psychiatry. We expect approach become pivotal coming years battle debilitating

Language: Английский

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The Role of Genetics in the Development and Pharmacotherapy of Depression and Its Impact on Drug Discovery

International Journal of Molecular Sciences, Journal Year: 2023, Volume and Issue: 24(3), P. 2946 - 2946

Published: Feb. 2, 2023

Complex disorders, such as depression, remain a mystery for scientists. Although genetic factors are considered important the prediction of one's vulnerability, it is hard to estimate exact risk patient develop based only on one category vulnerability criteria. Genetic also regulate drug metabolism, and when they identified in specific combination, may result increased resistance. A proper understanding basis depression assists development novel promising medications effective disorder management schemes. This review aims analyze recent literature focusing correlation between genes occurrence depression. Moreover, certain aspects targeting high resistance among patients suffering from major depressive were highlighted this manuscript. An expected direction future discovery campaigns was discussed.

Language: Английский

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Dysregulated Pathways During Pregnancy Predict Drug Candidates in Neurodevelopmental Disorders

Neuroscience Bulletin, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 6, 2025

Language: Английский

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Fenfluramine as antiseizure medication for epilepsy

Developmental Medicine & Child Neurology, Journal Year: 2021, Volume and Issue: 63(8), P. 899 - 907

Published: Feb. 9, 2021

Fenfluramine hydrochloride has classically been described as acting pharmacologically through a serotonergic mechanism. Therefore, it was initially used an anorectic drug, given that impaired serotonin homeostasis may be associated with increased food intake. Although positive results were documented, cardiovascular concerns resulted in its temporary withdrawal. Nevertheless, novel role patients epilepsy later suggested by isolated clinical observations. The wide application of genetic testing allowed the classification (predominantly Dravet syndrome) whom benefit seen, while development zebrafish models, antiepileptic properties confirmed at molecular level. Data from randomized trials have shown beneficial effect fenfluramine, adjunct therapy, on seizure control for children syndrome, though there is still uncertainty about impact neurodevelopment these patients. No signs heart valve disease documented to date. Long‐term and appropriately designed studies will verify whether fenfluramine therapeutic agent high importance, living up promise so far. What this paper adds very promising repurposed therapy specifically seizures syndrome. long‐term neurodevelopmental prognosis requires further investigation.

Language: Английский

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