The world is currently face to face with a pandemic which is spreading rapidly across the globe caused by SARS-CoV-2, a strain of Coronaviruses (CoVs) belonging to subgenus Sarbecovirus of genus Betacoronavirus. World Health Organisation (WHO) on 11 Feb 20 named this disease caused by SARS-CoV-2 as Covid-19. This pandemic is spreading rapidly and more than 20,00,000 cases have occurred globally. The human Coronaviruses discovered in 1960s were considered potentially harmless endemic viruses with seasonal distribution before late 2002. The CoVs are found in a large number of domestic and wild animals and birds. The first pandemic caused by Coronavirus caused by SARS-CoV was recognized in the late 2002 in Guangdong Province and resulted in widespread morbidity and mortality. This was followed by MERS-CoV which began in 2012 in the Arabian peninsula with multiple outbreaks related to it in various parts of the globe. Various studies have suggested how these viruses made their entry from their natural reservoir bats via intermediate host like civets and camels in case of SARS-CoV and MERS-CoV respectively. The intermediate host of the SARS-CoV-2 still needs to be established. The SARS-CoV-2 has 96.2% similarity to the bat Severe Acute Respiratory Syndrome related-Coronavirus (SARSr-CoV RaTG13). SARS-CoV-2 has been found to be more distant in relation to SARS-CoV (79%) and MERS-CoV (50%). At the whole genome sequence level pangolin CoV and SARSr-CoV RaTG13 show 91.02% and 96.2% similarity with SARS-CoV-2 but the S1 subunit of spike protein of pangolin CoV is more closely related to SARS-CoV-2 than SARSr-CoV RaTG13. The genetic analysis of the currently circulating strains of the pandemic have shown 99.98-100% similarity in their genomes implying a recent shift to humans. The animal source of SARS-CoV-2 needs to be identified to implement control measures in the present pandemic. Also, how the virus moves interspecies will help predict and prevent future pandemics.
We report one or more HIV resistance mutations in 81.81% of the 33 antiretroviral treatment-experienced study participants with evidence of virologic failure, with M184V being the most commonly observed resistance mutation (69.7%). Two out of four participants with protease inhibitors (PI) experience harbored multiple PI-associated resistance mutations. No resistance mutations were observed in 22 treatment-naive study plasma sequences. All the study pol sequences were subtype C, except one that was subtype A1. On analyzing paired plasma-proviral DNA sequences from 16 treatment-experienced patients, which harbored mutations at positions associated with antiretroviral drug resistance, an 87.5% discordance in reverse transcriptase mutations was seen between the two compartments. Our study highlights the high prevalence of HIV resistance mutations in treatment-experienced patients in Pune, with protease major resistance mutations being reported for the first time from India. The proviral DNA resistance mutation patterns may have an impact on the clinical management of HIV/AIDS.
The majority of the HIV drug resistance (HIVDR) testing studies have focused on subtype B virus. The predominance of subtype C in the Indian subcontinent along with greater access to antiretroviral therapy (ART) necessitates studies on HIVDR genotyping. We determined the prevalence of mutations associated with protease inhibitors (PI), nucleoside reverse transcriptase inhibitors (NRTI), and nonnucleoside reverse transcriptase inhibitors (NNRTI) from plasma of 40 antiretroviral drug-naive study participants in Indian HIV-1 pol gene sequences. Of these, 36 sequences belonged to subtype C, two to subtype A1, and two were subtype A1C recombinants. The heterosexual route was the most common route of transmission. Drug resistance-associated mutations were observed in 10% (4/40) of the study participants. The resistance mutation observed in the protease gene was V82A, whereas in the RT gene, M41L, D67N, M184V, and A98G were documented. This is the first study reporting major protease mutations by genotyping in ART-naive individuals from western India.
The presence of periodontal bacteria DNA in coronary atheromatous plaques and sub-gingival plaque samples of the same patients was confirmed by this study. CONCLUSION A correlation was established between putative bacteria contributing to atheromatous plaques and species associated with periodontal disease. One particularly important study to be carried out is the investigation of a possible clinically meaningful reduction in coronary heart disease resulting from the prevention or treatment of periodontal disease.
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