Search bioRxiv⌕ Search

bioRxiv · 10.1101/2022.02.08.479662

Inducible Nitric Oxide Synthase deficiency leads to early demyelination by altering the balance between pro- and anti-inflammatory responses against Murine-β-Coronavirus

Abstract

The neurological disease Multiple sclerosis (MS) is characterized by neuroinflammation and demyelination orchestrated by the activated glial cells, the CNS infiltrating leukocytes, and their reciprocal interaction through inflammatory signals. Inducible nitric oxide synthase (iNOS), an enzyme that catalyzes sustained nitric oxide production in response to an inflammatory stimulus, is a pro-inflammatory marker expressed particularly by the microglia/macrophages (MG/M{varphi}) during neuroinflammation. In MS, iNOS has been reportedly associated with the disease pathology; however, studies dissecting its role in the underlying mechanisms, specifically demyelination, are limited. Therefore, we studied the role of iNOS in a recombinant beta-coronavirus-MHV-RSA59-induced neuroinflammation, which is a prototypic animal model used to investigate the pathological hallmarks of MS, neuroinflammatory demyelination, and axonal degeneration. During the acute phase of infection with RSA59, wildtype C57BL/6 (WT) mice had significantly upregulated iNOS expression in macrophages, natural killer cells, and natural killer T cells suggesting a role for iNOS in RSA59-induced neuroinflammation. Studies comparing RSA59-infected WT and iNOS-deficient mice revealed that iNOS deficiency aggravated the disease with increased CNS infiltration of macrophages and neutrophils and enhanced mortality. As early as 9-10 days after the infection, the CNS of iNOS-deficient mice had substantially higher demyelination marked with morphologically defined MG/M{varphi} in the demyelinating regions. Transcript analysis confirmed the significant upregulation of type2 macrophage (M2) markers-Arginase 1, CD206, and TREM2-in the CNS of iNOS-deficient mice. Corroborating to the phenotype, the iNOS-deficient mice showed a significantly higher expression of TGF{beta}-an anti-inflammatory cytokine- and increased T regulatory (Treg) cell infiltration, indicating an anti-inflammatory milieu established early after the infection. These observations highlight a protective role of iNOS in virus-induced neuroinflammation whereas its absence leads to MG/M{varphi} polarization towards a phenotype that may be involved in the exacerbated demyelination pathology. Author summaryContrary to the reported pathogenic role of inducible nitric oxide synthase (iNOS) in multiple sclerosis and related autoimmune animal models, we show that the mice deficient in iNOS show an exacerbated disease with accelerated demyelination accompanied by heightened production of an anti-inflammatory and phagocytic markers and more numbers of Tregs in a mouse model of a recombinant mouse hepatitis virus RSA59 infection. Therefore, iNOS may play protective and regulatory roles in this beta-coronavirus infection.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Kamble, M., Saadi, F., Kumar, S., Saha, B., Das Sarma, J.. 2022-02-10. Inducible Nitric Oxide Synthase deficiency leads to early demyelination by altering the balance between pro- and anti-inflammatory responses against Murine-β-Coronavirus. https://doi.org/10.1101/2022.02.08.479662

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Same Movements, Different Skills: How Context Shapes Learning in Humans and Neural Networks

What determines whether experiences are integrated into shared representations or split? Motor skill learning offers a revealing test: when two tasks require an identical sequence of movements, both intuition and theory suggest that practice in one should generalize to the other. Yet we find that changing context can make identical movements different skills. In simple recurrent networks trained on the same sequence across contexts, splitting was greatest when strong contextual inputs coincided with a high initial weight scale; neither alone sufficed. Greater representational separation coincided with separate context-specific learning curves. Humans practicing the same finger sequence while alternating between two performance-irrelevant contexts likewise exhibited context-specific curves, rather than the single continuous trajectory observed when practicing in a single context. State-space modeling favored split learning states in humans and very weakly coupled states in the most context-dependent networks. These findings have broader implications for understanding how learning generalizes across contexts.

neuroscience↗

Postpartum resource scarcity reshapes maternal care, offspring prioritization, and the steroid-sensitive medial preoptic area

Parental care requires balancing offspring needs with environmental constraints, yet how resource scarcity alters the organization of maternal responses remains poorly understood. Here, we examined maternal behavior, offspring prioritization, and steroid receptor-associated extracellular matrix organization in postpartum rats exposed to limited bedding and nesting (LBN) or control conditions with ample nesting materials. LBN increased pup-directed and reduced self-directed behaviors but also increased behavioral entropy, a measure of behavioral fragmentation, indicating less predictable caregiving sequences. LBN dams preferentially retrieved male pups first, whereas control dams preferentially retrieved females first. LBN also increased the proportion of pup-investigation time directed toward males compared with controls. In offspring on postnatal day 10, corticosterone was elevated in female but not male LBN pups, a pattern that paralleled the maternal male bias. To identify associated neurobiological changes, we assessed steroid receptors and extracellular matrix organization in the medial preoptic area (mPOA), a key region for maternal behavior. LBN increased numbers of estrogen receptor (ER)- and androgen receptor (AR)-immunoreactive cells, reduced perineuronal net (PNN) abundance, and decreased receptor-positive cell enwrapment. Because PNNs constrain structural plasticity, these findings suggest that the postpartum environment alters the organization of steroid receptor-associated extracellular matrix, potentially modulating experience-dependent plasticity in neurosteroid-sensitive circuits. In sum, LBN increases the levels of maternal engagement while reshaping its temporal organization and allocation, accompanied by selective remodeling of steroid-sensitive preoptic architecture. Therefore, maternal adaptation to adversity may be better understood as changes in caregiving allocation strategies rather than a simple gain or loss of maternal care.

neuroscience↗

The Computational Grammar of Human Behaviour in a Biological Environment

Human behaviour unfolds as an extended stream of spontaneous actions shaped by environmental demands and the agent's goals. The organisation of these actions, situated between setting abstract goals and concrete movement execution, remains poorly characterised. Here, we introduce DynaClade, an unsupervised temporal action segmentation algorithm for human full-body motion capture data, and apply it to freely moving participants navigating ecologically realistic risky foraging environments in virtual reality. DynaClade identifies discrete actions whose kinematic characteristics and spatial distributions correspond to environmental affordances, supporting the validity of the approach. Among these actions, we discovered a hitherto undescribed movement pattern defined by increased body sway without locomotion. Action sequences were highly non-random and showed clear history dependence beyond first-order Markov structure, most of which was explained by a second-order prediction. This higher-order structure was well captured in a hidden Markov model, in which some of the observed actions were associated with more than one latent state. Each of these latent states corresponded to the same action in a distinct action context. These findings suggest that spontaneous human actions are predominantly selected based on the current action and context, rather than following pre-planned or habitually assembled sequences.

neuroscience↗