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Biomedical subjects

Anuj Kumar

Publications and source records attributed to Anuj Kumar.

2 recordsLinked to original sources

The emergence of putative epistatic mutations and iSNVs in SARS-CoV-2 XBB.1.16 variants linked with alteration in immunogenic determinants.

The SARS-CoV-2 XBB variants have been proposed to evolve towards immune evasion against vaccination or natural infection, which may contribute to higher transmissibility. The XBB.1.16 independently emerged due to accumulation of two important substitutions, E180V and T478R in the spike protein. Its pseudoviral infectivity and evasion of humoral immunity were similar to XBB.1 and XBB.1.5. In March 2023, XBB.1.16 had outcompeted other dominant XBB variants in India, which indicate a potential growth advantage. Here, intra-host single nucleotide variations (iSNV) and mutations were screened in SARS-CoV-2 genomes in closely related individuals at two time points: at symptoms onset, and during recovery. The prominence of putative epistatic iSNVs (E180V, G184V, G252V, D253G, and P521S/T) in XBB.1.16 variants were detected during the recovery phase. E180V exhibits mutational constellations with the G252V and P521T in a subset of samples, and this pattern was also detected in contemporary SARS-CoV-2 genomes. Higher order protein structural predictions suggested that the putative epistatic interactions among E180V, G184V, and G252V, D253G may be associated with S protein folding and structural stability. This study involving genomics and computational analyses highlights the potential role of these putative epistatic interactions in immune evasion, which may have contributed to dominance of XBB variants.

Humans

Deciphering the etiology of the 2024 outbreak of undiagnosed febrile illness in Panzi, Democratic Republic of the Congo.

In late 2024, an outbreak of over 400 cases of undiagnosed febrile illness, predominantly presenting as fever and cough, was reported in Panzi Health Zone, southwestern Democratic Republic of the Congo. Here we conducted an epidemiological and laboratory investigation to determine the etiology of the outbreak. Clinical data and specimens were prospectively collected from 108 individuals, of whom 59/108 (54.6%) were female. Children aged <5&#x2009;years were the most affected (47/108, 43.5%); 14/32 (43.7%) were malnourished. Oro/nasopharyngeal swabs from 96/108 individuals were PCR tested; 26 blood samples were sequenced. Plasmodium falciparum was detected in 56/108 (51.8%) individuals. Co-infections were also detected, with influenza A(H1N1)pdm09 virus in 16/56 (28.6%) and severe acute respiratory syndrome coronavirus 2 in 10/56 (17.9%) individuals. No novel pathogens were detected via metagenomics. Our findings suggest that the outbreak was primarily associated with a surge in malaria cases, with concurrent viral respiratory infections. Increasing decentralized laboratory capacity and strengthening broader health systems remain crucial for faster outbreak detection and investigation.

Disease Outbreaks