Biology subjects

Baral, P.

Publications and source records attributed to Baral, P..

8 recordsLinked to original sources

bioRxiv2024

Vagal TRPV1+ sensory neurons regulate myeloid cell dynamics and protect against influenza virus infection

Influenza viruses are a major global cause of morbidity and mortality. Vagal TRPV1+ nociceptive sensory neurons, which innervate the airways, are known to mediate defenses against harmful agents. However, their function in lung antiviral defenses remains unclear. Our study reveals that both systemic and vagal-specific ablation of TRPV1+ nociceptors reduced survival in mice infected with influenza A virus (IAV), despite no significant changes in viral burden or weight loss. Mice lacking nociceptors showed exacerbated lung pathology and elevated levels of pro-inflammatory cytokines. The increased mortality was not attributable to the loss of the TRPV1 ion channel or neuropeptides CGRP or substance P. Immune profiling through flow cytometry and single-cell RNA sequencing identified significant nociceptor deficiency-mediated changes in the lung immune landscape, including an expansion of neutrophils and monocyte-derived macrophages. Transcriptional analysis revealed impaired interferon signaling in these myeloid cells and an imbalance in distinct neutrophil sub-populations in the absence of nociceptors. Furthermore, anti-GR1-mediated depletion of myeloid cells during IAV infection significantly improved survival, underscoring a role of nociceptors in preventing pathogenic myeloid cell states that contribute to IAV-induced mortality. One Sentence Summary: TRPV1+ neurons facilitate host survival from influenza A virus infection by controlling myeloid cell responses and immunopathology.

immunology↗

bioRxiv2023

PIsToN: Evaluating Protein Binding Interfaces with Transformer Networks

The computational studies of protein binding are widely used to investigate fundamental biological processes and facilitate the development of modern drugs, vaccines, and therapeutics. Scoring functions aim to predict complexes that would be formed by the binding of two biomolecules and to assess and rank the strength of the binding at the interface. Despite past efforts, the accurate prediction and scoring of protein binding interfaces remain a challenge. The physics-based methods are computationally intensive and often have to trade accuracy for computational cost. The possible limitations of current machine learning (ML) methods are ineffective data representation, network architectures, and limited training data. Here, we propose a novel approach called PIsToN (evaluating Protein binding Interfaces with Transformer Networks) that aim to distinguish native-like protein complexes from decoys. Each protein interface is transformed into a collection of 2D images (interface maps), where each image corresponds to a geometric or biochemical property in which pixel intensity represents the feature values. Such a data representation provides atomic-level resolution of relevant protein characteristics. To build hybrid machine learning models, additional empirical-based energy terms are computed and provided as inputs to the neural network. The model is trained on thousands of native and computationally-predicted protein complexes that contain challenging examples. The multi-attention transformer network is also endowed with explainability by highlighting the specific features and binding sites that were the most important for the classification decision. The developed PIsToN model significantly outperforms existing state-of-the-art scoring functions on well-known datasets.

bioinformatics↗

bioRxiv2022

EMoMiS: A Pipeline for Epitope-based Molecular Mimicry Search in Protein Structures with Applications to SARS-CoV-2

MotivationEpitope-based molecular mimicry occurs when an antibody cross-reacts with two different antigens due to structural and chemical similarities. Molecular mimicry between proteins from two viruses can lead to beneficial cross-protection when the antibodies produced by exposure to one also react with the other. On the other hand, mimicry between a protein from a pathogen and a human protein can lead to auto-immune disorders if the antibodies resulting from exposure to the virus end up interacting with host proteins. While cross-protection can suggest the possible reuse of vaccines developed for other pathogens, cross-reaction with host proteins may explain side effects. There are no computational tools available to date for a large-scale search of antibody cross-reactivity. ResultsWe present a comprehensive Epitope-based Molecular Mimicry Search (EMoMiS) pipeline for computational molecular mimicry searches. EMoMiS, when applied to the SARS-CoV-2 Spike protein, identified eight examples of molecular mimicry with viral and human proteins. These findings provide possible explanations for (a) differential severity of COVID-19 caused by cross-protection due to prior vaccinations and/or exposure to other viruses, and (b) commonly seen COVID-19 side effects such as thrombocytopenia and thrombophilia. Our findings are supported by previously reported research but need validation with laboratory experiments. The developed pipeline is generic and can be applied to find mimicry for novel pathogens. It has applications in improving vaccine design. AvailabilityThe developed Epitope-based Molecular Mimicry Search Pipeline (EMoMiS) is available from https://biorg.cs.fiu.edu/emomis/. Contactgiri@cs.fiu.edu

bioinformatics↗

bioRxiv2022

Significance of the RBD mutations in the SARS-CoV-2 Omicron: from spike opening to antibody escape and cell attachment

We computationally investigated the role of the Omicron RBD mutations on its structure and interactions with ACE2. Our results suggest that, compared to the WT and Delta, the mutations in the Omicron RBD facilitate a more efficient RBD opening and ACE2 attachment. These effects, combined with antibody evasion, may contribute to its dominance over Delta. While the Omicron RBD escapes most antibodies from prior infections, epitope analysis shows that it harbors sequences with significantly improved antigenicity compared to other variants, suggesting more potent Omicron-specific neutralizing antibodies.

biophysics↗

bioRxiv2021

Molecular mimicry between Spike and human thrombopoietin may induce thrombocytopenia in COVID-19

SARS-CoV-2 causes COVID-19, a disease curiously resulting in varied symptoms and outcomes, ranging from asymptomatic to fatal. Autoimmunity due to cross-reacting antibodies resulting from molecular mimicry between viral antigens and host proteins may provide an explanation. We computationally investigated molecular mimicry between SARS-CoV-2 Spike and known epitopes. We discovered molecular mimicry hotspots in Spike and highlight two examples with tentative autoimmune potential and implications for understanding COVID-19 complications. We show that a TQLPP motif in Spike and thrombopoietin shares similar antibody binding properties. Antibodies cross-reacting with thrombopoietin may induce thrombocytopenia, a condition observed in COVID-19 patients. Another motif, ELDKY, is shared in multiple human proteins such as PRKG1 and tropomyosin. Antibodies cross-reacting with PRKG1 and tropomyosin may cause known COVID-19 complications such as blood-clotting disorders and cardiac disease, respectively. Our findings illuminate COVID-19 pathogenesis and highlight the importance of considering autoimmune potential when developing therapeutic interventions to reduce adverse reactions.

bioinformatics↗

bioRxiv2021

Mutation-induced Changes in the Receptor-binding Interface of the SARS-CoV-2 Delta Variant B.1.617.2 and Implications for Immune Evasion

While the vaccination efforts against SARS-CoV-2 infections are ongoing worldwide, new genetic variants of the virus are emerging and spreading. Following the initial surges of the Alpha (B.1.1.7) and the Beta (B.1.351) variants, a more infectious Delta variant (B.1.617.2) is now surging, further deepening the health crises caused by the pandemic. The sharp rise in cases attributed to the Delta variant has made it especially disturbing and is a variant of concern. Fortunately, current vaccines offer protection against known variants of concern, including the Delta variant. However, the Delta variant has exhibited some ability to dodge the immune system as it is found that neutralizing antibodies from prior infections or vaccines are less receptive to binding with the Delta spike protein. Here, we investigated the structural changes caused by the mutations in the Delta variants receptor-binding interface and explored the effects on binding with the ACE2 receptor as well as with neutralizing antibodies. We find that the receptor-binding {beta}-loop-{beta} motif adopts an altered but stable conformation causing separation in some of the antibody binding epitopes. Our study shows reduced binding of neutralizing antibodies and provides a possible mechanism for the immune evasion exhibited by the Delta variant.

biophysics↗

bioRxiv2019

Abuse among elderly living in old age homes of Pokhara Lekhnath Metropolitan City:A cross sectional study

Elder abuse is a common social problem in developed and developing countries and it imposes a huge impact in the physical and mental health of the elderly. With the changes in the socioeconomic aspect of Nepalese society, many elderly are relocating from their homes to old age homes. This study was conducted to assess the status of abuse among the elderly before they enter to old aged homes. A cross sectional study was conducted to assess the status of abuse among elderly before they enter to the old age homes. Consecutive sampling technique was used and semi structured interview schedule was used to collect the data from 109 elderly residing in 6 old aged homes in Pokhara. Collected data was analyzed descriptive and inferential (chi square) statistics using SPSS version 16. The findings from the study showed that that 97.2% of the elderly experienced some forms of abuse before they were brought to the old Age home. Majority of them reported that they experienced neglect (83.5%) followed by verbal abuse (34.9) while least of them (5.5%) reported that they suffered physical abuse(2.8%) and financial abuse(2.8%). However, no significant association could be seen between abuse of elderly with age, education, marital status, place of residence, having children and adequacy of income. It is recommended that the nation develop and implement necessary plans to strengthen the social security of the people at their old age.

scientific communication and education↗

bioRxiv2019

Gut-innervating nociceptor neurons protect against enteric infection by modulating the microbiota and Peyer’s patch microfold cells

Gut-innervating nociceptor sensory neurons respond to noxious/tissue-damaging stimuli by initiating protective responses and releasing mediators that regulate tissue inflammation, gastrointestinal secretion, and motility. The role of nociceptors in host defense against enteric pathogens is unclear. Here, we found that gut-extrinsic nociceptor neurons are critical in protecting the host against Salmonella typhimurium (STm) infection. Nociceptors responded to STm by releasing the neuropeptide calcitonin gene-related peptide (CGRP). Targeted depletion of Nav1.8 and TRPV1 neurons from gut-extrinsic dorsal root ganglia and vagal ganglia increased STm colonization, invasion, and dissemination. Nociceptors regulated the gut microbiota at homeostasis, specifically segmented filamentous bacteria (SFB) levels in the ileum, which protected against STm by colonization resistance. Nociceptors also regulated the density of microfold epithelial cells in the Peyers patch via CGRP to limit points of entry for STm invasion into host tissues. Understanding how host sensory neurons crosstalk with pathogenic bacteria may impact treatments for enteric infections.\n\nHIGHLIGHTSO_LINav1.8 and TRPV1 nociceptors defend against Salmonella typhimurium (STm) infection\nC_LIO_LINociceptors shape the gut microbiota and SFB levels which resist pathogen colonization\nC_LIO_LINociceptors suppress Peyers patch microfold cell density to limit pathogen invasion\nC_LIO_LINeurons sense STm and release CGRP to modulate microfold cells and host defense\nC_LI

immunology↗