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1.
Viruses ; 15(12)2023 11 29.
Article in English | MEDLINE | ID: mdl-38140591

ABSTRACT

BACKGROUND: SARS-CoV-2 can enter the environment from the feces of COVID-19 patients and virus carriers through untreated sewage. The virus has shown the ability to adapt to a wide range of hosts, so the question of the possible involvement of aquafauna and animals of coastal ecosystems in maintaining its circulation remains open. METHODS: the aim of this work was to study the tropism of SARS-CoV-2 for cells of freshwater fish and reptiles, including those associated with aquatic and coastal ecosystems, and the effect of ambient temperature on this process. In a continuous cell culture FHM (fathead minnow) and diploid fibroblasts CGIB (silver carp), SARS-CoV-2 replication was not maintained at either 25 °C or 29 °C. At 29 °C, the continuous cell culture TH-1 (eastern box turtle) showed high susceptibility to SARS-CoV-2, comparable to Vero E6 (development of virus-induced cytopathic effect (CPE) and an infectious titer of 7.5 ± 0.17 log10 TCID50/mL on day 3 after infection), and primary fibroblasts CNI (Nile crocodile embryo) showed moderate susceptibility (no CPE, infectious titer 4.52 ± 0.14 log10 TCID50/mL on day 5 after infection). At 25 °C, SARS-CoV-2 infection did not develop in TH-1 and CNI. CONCLUSIONS: our results show the ability of SARS-CoV-2 to effectively replicate without adaptation in the cells of certain reptile species when the ambient temperature rises.


Subject(s)
COVID-19 , SARS-CoV-2 , Animals , Chlorocebus aethiops , Humans , Vero Cells , Ecosystem , Cell Culture Techniques
2.
Viruses ; 15(10)2023 09 27.
Article in English | MEDLINE | ID: mdl-37896792

ABSTRACT

The comparison of the development of the SARS-CoV-2 epidemic in several neighboring regions can help researchers to assess the risks and develop more effective strategies and approaches in the field of preventive medicine. We analyzed the infection and mortality statistics for the 2020-2022 period in ten individual regions of the Siberian Federal District of Russia. We also sequenced complete genomes, which allowed us to analyze the genetic diversity of SARS-CoV-2 circulated in each of the ten regions and to build a phylogenetic dendrogram for the virus variants. The ParSeq v.1.0 software was developed to automate and speed up the processing and analysis of viral genomes. At the beginning of the pandemic, in the first two waves, the B.1.1 variant (20B) dominated in all regions of the Siberian Federal District. The third and fourth waves were caused by the Delta variant. Mortality during this period was at a maximum; the incidence was quite high, but the number of deposited genomes with GISAID during this period was extremely low. The maximum incidence was at the beginning of 2022, which corresponds to the arrival of the Omicron variant in the region. The BA.5.2 variant became the dominant one. In addition, by using NextClade, we identified three recombinants in the most densely populated areas.


Subject(s)
COVID-19 , SARS-CoV-2 , Humans , Siberia/epidemiology , SARS-CoV-2/genetics , Phylogeny , COVID-19/epidemiology , Pandemics
3.
Viruses ; 14(9)2022 09 14.
Article in English | MEDLINE | ID: mdl-36146842

ABSTRACT

In this retrospective, single-center study, we conducted an analysis of 13,699 samples from different individuals obtained from the Federal Research Center of Fundamental and Translational Medicine, from 1 April to 30 May 2020 in Novosibirsk region (population 2.8 million people). We identified 6.49% positive for SARS-CoV-2 cases out of the total number of diagnostic tests, and 42% of them were from asymptomatic people. We also detected two asymptomatic people, who had no confirmed contact with patients with COVID-19. The highest percentage of positive samples was observed in the 80+ group (16.3%), while among the children and adults it did not exceed 8%. Among all the people tested, 2423 came from a total of 80 different destinations and only 27 of them were positive for SARS-CoV-2. Out of all the positive samples, 15 were taken for SARS-CoV-2 sequencing. According to the analysis of the genome sequences, the SARS-CoV-2 variants isolated in the Novosibirsk region at the beginning of the pandemic belonged to three phylogenetic lineages according to the Pangolin classification: B.1, B.1.1, and B.1.1.129. All Novosibirsk isolates contained the D614G substitution in the Spike protein, two isolates werecharacterized by an additional M153T mutation, and one isolate wascharacterized by the L5F mutation.


Subject(s)
COVID-19 , SARS-CoV-2 , Adult , COVID-19/epidemiology , Child , Genome, Viral , Genomics , Humans , Mutation , Pandemics , Phylogeny , Retrospective Studies , SARS-CoV-2/genetics , Spike Glycoprotein, Coronavirus/genetics
4.
Mar Drugs ; 11(5): 1440-55, 2013 May 03.
Article in English | MEDLINE | ID: mdl-23644925

ABSTRACT

The neuritogenic and neuroprotective activities of six starfish polar steroids, asterosaponin Р1, (25S)-5α-cholestane-3ß,4ß,6α,7α,8,15α,16ß,26-octaol, and (25S)-5α-cholestane-3ß,6α,7α,8,15α,16ß,26-heptaol (1-3) from the starfish Patiria pectinifera and distolasterosides D1-D3 (4-6) from the starfish Distolasterias nipon were analyzed using the mouse neuroblastoma (NB) C-1300 cell line and an organotypic rat hippocampal slice culture (OHSC). All of these compounds enhanced neurite outgrowth in NB cells. Dose-dependent responses to compounds 1-3 were observed within the concentration range of 10-100 nM, and dose-dependent responses to glycosides 4-6 were observed at concentrations of 1-50 nM. All the tested substances exhibited notable synergistic effects with trace amounts of nerve growth factor (NGF, 1 ng/mL) or brain-derived neurotrophic factor (BDNF, 0.1 ng/mL). Using NB cells and OHSCs, it was shown for the first time that starfish steroids 1-6 act as neuroprotectors against oxygen-glucose deprivation (OGD) by increasing the number of surviving cells. Altogether, these results suggest that neurotrophin-like neuritogenic and neuroprotective activities are most likely common properties of starfish polyhydroxysteroids and the related glycosides, although the magnitude of the effect depended on the particular compound structure.


Subject(s)
Neurites/drug effects , Neuroprotective Agents/pharmacology , Starfish/chemistry , Steroids/pharmacology , Animals , Brain-Derived Neurotrophic Factor/pharmacology , Cell Line, Tumor , Dose-Response Relationship, Drug , Drug Synergism , Glucose/metabolism , Hippocampus/drug effects , Hippocampus/metabolism , Mice , Nerve Growth Factor/pharmacology , Neurites/metabolism , Neuroblastoma/metabolism , Neuroprotective Agents/chemistry , Neuroprotective Agents/isolation & purification , Oxygen/metabolism , Rats , Steroids/chemistry , Steroids/isolation & purification
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