The Potential Role of Nanomedicine on COVID-19 Therapeutics

Mainardes, Rubiana Mara; Diedrich, Camila

doi:10.4155/tde-2020-0069

Cited by 48 publications

(49 citation statements)

References 20 publications

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“…These strategies contribute to rapid diagnosis and isolation and may facilitate the treatment of people infected with SARS-CoV-2. The interactions between nanomaterials and biological interfaces are the basis for their potential (bio)medical applications (Mainardes and Diedrich, 2020).…”

Section: Nano Insights Into Diagnosis Treatment and Prevention Of Cmentioning

confidence: 99%

“…In COVID-19 therapy, nanotechnology has broad applications and can act in different stages of the disease, with the potential to inhibit virus-cell interaction, membrane fusion, cell internalization, transcription, translation, and viral replication, in addition to activating intracellular mechanisms that cause irreversible damage to viruses (Mainardes and Diedrich, 2020).…”

Section: Nanotechnologies In the Treatment Of Covid-19mentioning

confidence: 99%

See 1 more Smart Citation

Is Nanotechnology Helping in the Fight Against COVID-19?

Cardoso

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Comparetti

et al. 2020

Front. Nanotechnol.

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Section: Nano Insights Into Diagnosis Treatment and Prevention Of Cmentioning

confidence: 99%

Section: Nanotechnologies In the Treatment Of Covid-19mentioning

confidence: 99%

Is Nanotechnology Helping in the Fight Against COVID-19?

Cardoso

Moreira

Comparetti

et al. 2020

Front. Nanotechnol.

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“…Kenya: The first reported case of SARS-CoV-2 sequencing and analysis in Kenya consisted of positive samples from symptomatic and asymptomatic patients from Nairobi (20) and Coastal Kenya (102). Seventyeight global sequences representing countries in Europe, Asia, America and Africa in GISAID were randomly sampled and retrieved.…”

Section: Sars-cov-2 Genome Analysis Of African Isolatesmentioning

confidence: 99%

“…age, specimen source and status), gender served as a compulsory criterion for profiling the excavated genomes. Male isolates excavated according to Country (number of sequence, state(s) extracted), include: Algeria (2, 1); Benin (5, 2); Cameroon (1, 1); DRC (15,4); Egypt (5, 2); Gambia (6, 2); Ghana (4, 1); Kenya (4, 1); Mali (5, 2); Morocco (5, 3); Nigeria (13,5); Senegal (14,6); South Africa (65,20); Tunisia (1, 1). Female isolates excavated according to country (number of sequence, state(s) extracted), include: Algeria (1, 1); Benin (4, 1); DRC (13,4); Egypt (4, 2); Gambia (4, 2); Ghana (4, 1); Kenya (4, 1); Madagascar (2, 2); Mali (4, 1); Morocco (2, 1); Nigeria (11,5); Senegal (11,3); South Africa (80, 24); Tunisia (1, 1).…”

Section: Data Source and Genome Sequences Selectionmentioning

confidence: 99%

Real Time Viral Sub-Strains Discovery in Emerging Infectious Disease Situation – The African Perspective

Ekpenyong¹,

Uzoka²,

Edoho³

et al. 2020

Preprint

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BackgroundThe increased number of accessible genomes has prompted large-scale comparative studies for decerning evolutionary knowledge of infectious diseases, but challenges such as non-availability of close reference sequence(s), incompletely assembled or large number of genomes, preclude real time multiple sequence alignment and sub-strain(s) discovery. This paper introduces a cooperatively inspired open-source framework, for intelligent mining of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) genomes. We situate this study within the African context, to drive advancement on state-of-the-art, towards intelligent infectious disease characterization and prediction. The outcome is an enriched Knowledge Base, sufficient to provide deep understanding of the viral sub-strains’ identification problem. We also open investigation by gender, which to the best of our knowledge has been ignored in related research. Data for the study came from the Global Initiative on Sharing All Influenza Data database (https://gisaid.org) and processed for precise discovery of viral sub-strains transmission between and within African countries. To localize the transmission route(s) of each isolate excavated and provide appropriate links to similar isolate strain(s), a cognitive solution was imposed on the genome expression patterns discovered by unsupervised self-organizing map (SOM) component planes visualization. The Freidman-Nemenyi’s test was finally performed to validate our claim.ResultsEvidence of inter- and intra-genome diversity was noticed. While some isolates (or genomes) clustered differently, implying different evolutionary source (or high-diversity), others clustered closely together, indicating similar evolutionary source (or less-diversity). SOM component planes analysis revealed multiple sub-strains patterns, strongly suggesting local or intra-community and country to country transmissions. Cognitive maps of both male and female isolates revealed multiple transmission routes. Statistical results indicate significant difference between the various isolate groups at the 0.05 level of significance.ConclusionThe proposed framework offers explanations to SARS-CoV-2 diversity and provides real time identification to disease transmission routes, as well as rapid decision support for facilitating inter- and intra-country contact tracing of infected case(s). Intermediate data produced in this paper are helpful to enrich the genome datasets for intelligent characterization and prediction of COVID-19 and related pandemics, as well as the construction of intelligent device for accurate infectious disease monitoring.

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“…; Benin(5,2); Cameroon (1, 1); DRC(15,4); Egypt (5, 2); Gambia(6,2); Ghana (4, 1); Kenya (4, 1); Mali(5,2); Morocco(5,3); Nigeria(13,5); Senegal(14,6); South Africa(65,20); Tunisia (1, 1).Female isolates excavated according to country (number of sequence, state(s) extracted), include: Algeria (1, 1); Benin (4, 1); DRC(13,4); Egypt (4, 2); Gambia (4, 2); Ghana (4, 1); Kenya (4, 1); Madagascar (2, 2); Mali (4, 1); Morocco (2, 1); Nigeria(11,5); Senegal(11,3); South Africa (80, 24); Tunisia (1, 1). Hence, a total of 290 genome sequences (145 males, 145 females) with genome lengths of over 29000 nucleotides, were excavated.Specimen sources include swabs (nasal, oral, throat, nasal and oral); fluids (bronchoalveolar lavage, saliva, sputum) and unknown.…”

mentioning

confidence: 99%

Real Time Viral Sub-Strains Discovery in Emerging Infectious Disease Situation – The African Perspective

Ekpenyong

Uzoka

Edoho

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: The increased number of accessible genomes has prompted large-scale comparative studies for discerning evolutionary knowledge of infectious diseases, but challenges such as non-availability of close reference sequence(s), incompletely assembled or large number of genomes, preclude real time multiple sequence alignment and sub-strain(s) discovery. This paper introduces a cooperatively inspired open-source framework, for intelligent mining of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) genomes. We situate this study within the African context, to drive advancement on state-of-the-art, towards intelligent infectious disease characterization and prediction. The outcome is an enriched Knowledge Base, sufficient to provide deep understanding of the viral sub-strains’ identification problem. We also open investigation by gender, which to the best of our knowledge has been ignored in related research. Data for the study came from the Global Initiative on Sharing All Influenza Data database (https://gisaid.org) and processed for precise discovery of viral sub-strains transmission between and within African countries. To localize the transmission route(s) of each isolate excavated and provide appropriate links to similar isolate strain(s), a cognitive solution was imposed on the genome expression patterns discovered by unsupervised self-organizing map (SOM) component planes visualization. The Freidman-Nemenyi’s test was finally performed to validate our claim. Results: Evidence of inter- and intra-genome diversity was noticed. While some isolates (or genomes) clustered differently, implying different evolutionary source (or high-diversity), others clustered closely together, indicating similar evolutionary source (or less-diversity). SOM component planes analysis revealed multiple sub-strains patterns, strongly suggesting local- or intra-community and country to country transmissions. Cognitive maps of both male and female isolates revealed multiple transmission routes. Freidman’s test results showed highly significant difference (p<0.01) among the various isolate groups. Nemenyi’s test revealed groups that differed in their isolates.Conclusion: The proposed framework offers explanations to SARS-CoV-2 diversity and provides real time identification to disease transmission routes, as well as rapid decision support for facilitating inter- and intra-country contact tracing of infected case(s). Intermediate data produced in this paper are helpful to enrich the genome datasets for intelligent characterization and prediction of COVID-19 and related pandemics, as well as the construction of intelligent device for accurate infectious disease monitoring.

show abstract

The Potential Role of Nanomedicine on COVID-19 Therapeutics

Abstract: Although it is well-established that nanotech-based drug-delivery systems improve existing therapeutics in medicine, its application in viral diseases is underexplored and underused "

Cited by 48 publications

References 20 publications

Is Nanotechnology Helping in the Fight Against COVID-19?

Is Nanotechnology Helping in the Fight Against COVID-19?

Real Time Viral Sub-Strains Discovery in Emerging Infectious Disease Situation – The African Perspective

Real Time Viral Sub-Strains Discovery in Emerging Infectious Disease Situation – The African Perspective

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