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Biology subjects

Syed, G. H.

Publications and source records attributed to Syed, G. H..

2 recordsLinked to original sources

Quantitative proteomics of hamster lung tissues infected with SARS-CoV-2 reveal host-factors having implication in the disease pathogenesis and severity

Syrian golden hamsters (Mesocricetus auratus) infected by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) manifests lung pathology that resembles human COVID-19 patients. In this study, efforts were made to check the infectivity of a local SARS-CoV-2 isolate in hamster model and evaluate the differential expression of lung proteins during acute infection and convalescence. The findings of this study confirm the infectivity of this isolate in vivo. Analysis of clinical parameters and tissue samples shows a similar type of pathophysiological manifestation of SARS-CoV-2 infection as reported earlier in COVID-19 patients and hamsters infected with other isolates. The lung-associated pathological changes were very prominent on the 4th day post-infection (dpi), mostly resolved by 14dpi. Here, we carried out quantitative proteomic analysis of the lung tissues from SARS-CoV-2-infected hamsters at day 4 and day 14 post infection. This resulted in the identification of 1,585 differentially expressed proteins of which 68 proteins were significantly altered among both the infected groups. Pathway analysis revealed complement and coagulation cascade, platelet activation, ferroptosis and focal adhesion as the top enriched pathways. In addition, we also identified altered expression of two pulmonary surfactant-associated proteins (Sftpd and Sftpb), known for their protective role in lung function. Together, these findings will aid in the identification of candidate biomarkers and understanding the mechanism(s) involved in SARS-CoV-2 pathogenesis. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=143 HEIGHT=200 SRC="FIGDIR/small/434371v1_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@1930556org.highwire.dtl.DTLVardef@14376d6org.highwire.dtl.DTLVardef@2f064eorg.highwire.dtl.DTLVardef@1472572_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology

SARS-CoV2 genome analysis of Indian isolates and molecular modelling of D614G mutated spike protein with TMPRSS2 depicted its enhanced interaction and virus infectivity

COVID-19 that emerged as a global pandemic is caused by SARS-CoV-2 virus. The virus genome analysis during disease spread reveals about its evolution and transmission. We did whole genome sequencing of 225 clinical strains from the state of Odisha in eastern India using ARTIC protocol-based amplicon sequencing. Phylogenetic analysis identified the presence of all five reported clades 19A, 19B, 20A, 20B and 20C in the population. The analyses revealed two major routes for the introduction of the disease in India i.e. Europe and South-east Asia followed by local transmission. Interestingly, 19B clade was found to be much more prevalent in our sequenced genomes (17%) as compared to other genomes reported so far from India. The haplogroup analysis for clades showed evolution of 19A and 19B in parallel whereas the 20B and 20C appeared to evolve from 20A. Majority of the 19A and 19B clades were present in cases that migrated from Gujarat state in India suggesting it to be one of the major initial points of disease transmission in India during month of March and April. We found that with the time 20A and 20B clades evolved drastically that originated from central Europe. At the same time, it has been observed that 20A and 20B clades depicted selection of four common mutations i.e. 241 C>T (5UTR), P323L in RdRP, F942F in NSP3 and D614G in the spike protein. We found an increase in the concordance of G614 mutation evolution with the viral load in clinical samples as evident from decreased Ct value of spike and Orf1ab gene in qPCR. Molecular modelling and docking analysis identified that D614G mutation enhanced interaction of spike with TMPRSS2 protease, which could impact the shedding of S1 domain and infectivity of the virus in host cells.

genomics