Background COVID-19 is a disease with global public health emergency that have shook the world since its' first detection in China in December, 2019. Severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2) is the pathogen responsible behind this pandemic. The lethality of different viral strains is found to vary in different geographical locations but the molecular mechanism is yet to be known.Methods Available data of whole genome sequencing of different viral strains published by different countries were retrieved and then analysed using Multiple Sequence Alignment and Pair-wise Sequence Alignment leading to Phylogenetic tree construction. Each location and the corresponding genetic variations were screened in depth. Then the variations are analysed at protein level giving special emphasis on Non Synonymous amino acid substitutions. The fatality rates in different countries were matched against the mutation number, rarity of the nucleotide alterations and functional impact of the Non Synonymous changes at protein level, separately and in combination.
FindingsAll the viral strains have been found to evolve from the viral strain of Taiwan (MT192759) which is 100% identical with the ancestor SARS-CoV-2 sequences of Wuhan (NC 045512.2; submitted on 5 th Jan, 2020). Transition from C to T (C>T) is the most frequent mutation in this viral genome and mutations A>T, G>A, T>A are the rarest ones, found in countries with maximum fatality rate i.e Italy, Spain and Sweden. 20 Non Synonymous mutations are located in viral genome spanning Orf1ab polyprotein, Surface glycoprotein, Nucleocapsid protein etc. The functional effect on the structure and function of the protein can favourably or unfavourably interact with the host body.
The systematic review synthesizes the diverse documentation of research on the burden of occupational lung disease (OLD) and its uncanny load in the modern industrial era greatly resembles iceberg phenomenon. The major OLDs include asbestosis, asthma, coal workers pneumoconiosis, chronic obstructive pulmonary diseases, hypoxia, lung cancer, metal fume fever, silicosis etc. We searched the literatures limited to English only in Pubmed, Scopus, Science Direct using selective keywords and cross references in different combinations. The search criteria retrieved relevant but highly scattered information or data on the present context spanning both global and Indian perspectives. The present review is an updated understanding along with retrospective data of the last twenty years. The main objective of the present review is to identify the causes of common lung diseases in different occupational sectors and their consequences. Conventional to alternative diagnostic methods and potential biomarkers for disease identifications have been summarized taking into account that early diagnosis of the disease has some limitations. Identification of the disease with early predictive biomarker will be challenging and may leave a foot print for greater societal benefit.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.