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Mittal, B.

Publications and source records attributed to Mittal, B..

3 recordsLinked to original sources

Infection drives localised and individualised antibody repertoires, whereas immunisation promotes repertoire convergence in pig

Respiratory viruses elicit mucosal and systemic immunity, yet how tissue compartmentalisation and exposure route shape B cell repertoires remain unclear. Using the pig model, we characterised antibody repertoires in bronchoalveolar lavage, tracheobronchial lymph nodes, spleen, and blood following intranasal infection with pandemic influenza virus (pH1N1) or porcine respiratory coronavirus (PRCV), and after intramuscular PRCV immunisation. Infection induced highly compartmentalised responses, with antigen-associated clones enriched in lung, lymph nodes and spleen but with limited presentation in blood. These clones were largely private, indicating individualised responses, and displayed tissue-specific diversity. The similar tissue distributions between pH1N1 and PRCV infections suggest a conserved spatial organisation, although differential lymph node involvement indicates pathogen-specific effects. In contrast, intramuscular immunisation generated more convergent, public repertoires in blood, characterised by reduced clonal size diversity. Monoclonal antibody analysis revealed functional heterogeneity and limited overlap with bulk repertoires. Together, these findings show that despite stable germline usage, functional antibody responses are shaped by the route of antigen exposure, clonal selection, and host specific factors, resulting in distinct repertoire architectures between infection and immunisation. Author summaryRespiratory viruses such as influenza and coronaviruses infect the airways and lungs, where they trigger immune responses that help the body fight infection. Most studies of immunity rely on blood, although many immune cells function in tissues like the lungs. Therefore, we may be missing important parts of the immune response. We used pigs, a large animal model that closely resembles humans in respiratory biology and is naturally infected with influenzas and coronaviruses, to investigate how immune responses are shaped by infection compared with intramuscular vaccination. We examined B cells in lungs, nearby lymph nodes, spleen, and blood after infection with influenza or a porcine coronavirus and compared these with responses after vaccination. We found that infection generates distinct, individual immune responses in the lung and lymphoid organs. Vaccination by injection led to more similar responses across animals, mostly in the blood. This suggests the way the immune system encounters an antigen influences the response generated. We also showed that antibodies with similar binding properties can behave very differently in their ability to neutralise viruses. Our findings show that infection and vaccination shape immunity in fundamentally different ways, with important implications for designing vaccines that better protect against respiratory diseases.

immunology↗

Immuno-informatics approach for multi-epitope vaccine designing against SARS-CoV-2

The novel Corona Virus Disease 2019 (COVID-19) pandemic has set the fatality rates ablaze across the world. So, to combat this disease, we have designed a multi-epitope vaccine from various proteins of Severe Acute Respiratory Syndrome Corona virus 2 (SARS-CoV-2) with an immuno-informatics approach, validated in silico to be stable, non-allergic and antigenic. Cytotoxic T-cell, helper T-cell, and B-cell epitopes were computationally predicted from six conserved protein sequences among four viral strains isolated across the world. The T-cell epitopes, overlapping with the B-cell epitopes, were included in the vaccine construct to assure the humoral and cell-mediated immune response. The beta-subunit of cholera toxin was added as an adjuvant at the N-terminal of the construct to increase immunogenicity. Interferon-gamma inducing epitopes were even predicted in the vaccine. Molecular docking and binding energetics studies revealed strong interactions of the vaccine with immune-stimulatory toll-like receptors (TLR) -2, 3, 4. Molecular dynamics simulation of the vaccine ensured in vivo stability in the biological system. The immune simulation of vaccine evinced elevated immune response. The efficient translation of the vaccine in an expression vector was assured utilizing in silico cloning approach. Certainly, such a vaccine construct could reliably be effective against COVID-19.

bioinformatics↗

The First complete Zoroastrian-Parsi Mitochondria Reference Genome: Implications of mitochondrial signatures in an endogamous, non-smoking population

The present-day Zoroastrian-Parsis have roots in ancient pastoralist migrations from circumpolar regions leading to their settlement on the Eurasian Steppes and later, as Indo-Iranians in the Fertile Crescent. After migrating from the Persian province of Pars to India, the Zoroastrians from Pars ("Parsis") practiced endogamy, thereby preserving their genetic identity and social practices. The study was undertaken to gain an insight into the genetic consequences of migration on the community, the practice of endogamy, to decipher the phylogenetic relationships with other groups, and elucidate the disease linkages to their individual haplotypes We generated the de novo the Zoroastrian-Parsi Mitochondrial Reference Genome (AGENOME-ZPMS-HV2a-1), which is the first complete mitochondrial reference genome assembled for this group. Phylogenetic analysis of an additional 99 Parsi mitochondrial genome sequences showed the presence of HV, U, T, A and F (belonging to the macrohaplogroup N) and Z and other M descendents of the macrohaplogroup M (M5, M39, M33, M4452, M24, M3, M30, M2, M430, M2, M35 and M27) and a largely Persian origin for the Parsi community. We assembled individual reference genomes for each major haplogroup and the Zoroastrian-Parsi Mitochondrial Consensus Genome (AGENOME-ZPMCG V1.0), which is the first consensus genome assembled for this group. We report the existence of 420 mitochondrial genetic variants, including 12 unique variants, in the 100 Zoroastrian-Parsi mitochondrial genome sequences. Disease association mapping showed 217 unique variants linked to longevity and 41 longevity-associated disease phenotypes across the majority of haplogroups. Analysis of the coding genes, tRNA genes, and the D-loop region revealed haplogroup-specific disease associations for Parkinsons disease, Alzheimers disease, cancers, and rare diseases. No known mutations linked to lung cancer were found in our study. Mutational signatures linked to tobacco carcinogens, specifically, the C>A and G>T transitions, were observed at extremely low frequencies in the Parsi cohort, suggestive of an association between the cultural norm prohibiting smoking and its reflection in the genetic signatures. In sum, the Parsi mitochondrial genome provides an exceptional resource for determining details of their migration and uncovering novel genetic signatures for wellness and disease.

genomics↗