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Joshi, R.

Publications and source records attributed to Joshi, R..

At least 19 recordsLinked to original sources

Osmotic Coupling of Mechanics and Epigenetics Regulates Chromatin Phase Organization

Cells experience epigenetic, osmotic, and mechanical perturbations that reorganize chromatin, yet how these distinct cues are integrated into a common physical response of the nucleus remains unclear. Here, we identify nuclear hydration as a central state variable that links microenvironmental perturbations to chromatin phase organization and nuclear mechanics. We develop a non-equilibrium mesoscale model that couples chromatin elasticity, water transport, and epigenetic reaction-diffusion kinetics. In this framework, chromatin behaves as a deformable polymer that segregates into coexisting water-rich euchromatic and water-poor heterochromatic phases, whose compositions and morphologies are regulated by hydration-dependent swelling, elastic strain, and histone-mark interconversion. The model predicts that epigenetic perturbations, osmotic shocks, and volume-changing mechanical loads reorganize chromatin by shifting intranuclear water content, nuclear volume, and euchromatin-heterochromatin phase balance. It further predicts that anisotropic forces impose directional strain, driving heterochromatin elongation, alignment, and lamellar transitions. Quantitative comparisons with super-resolution imaging, AFM and chromatin-accessibility measurement - across pharmacological, osmotic, and mechanical perturbations including confinement and micropatterning - support these predictions. Together, our results establish a chemo-mechano-osmotic framework in which nuclear hydration integrates biochemical and biophysical cues to regulate chromatin organization across scales.

biophysics↗

Effect of dopamine D2 blockade on behavioural and electrophysiological measures of inhibitory control

Inhibitory control is an essential executive function that encompasses both the stopping of an action in response to an unexpected stop signal (reactive response inhibition) and slowing of responses in anticipation of stopping (proactive response inhibition). Fronto-basal-ganglia circuits are thought to differentially contribute to response inhibition, with the indirect pathway implicated in proactive inhibition. Given the high expression of dopamine D2 receptors in the indirect pathway, pharmacological blockade of D2 receptors is expected to impact proactive inhibition, as indicated by response times on Go trials. The current study aimed to investigate this experimentally and study the effect of 600 mg of sulpiride, a D2 receptor antagonist, on behavioural and electrophysiological measures of proactive and reactive inhibition in humans. Human participants (N=24) completed an anticipated response version of the stop-signal task on either sulpiride or placebo in a double-blind within-subjects design. Sulpiride led to increased variability of Go response times and attenuation of the frontocentral negativity/readiness potential, considered to be a signature of proactive inhibition. In contrast, sulpiride had no effect on stop-signal reaction time or event-related potential components associated with reactive inhibition. These findings suggest that D2 receptor blockade selectively alters processes involved in proactive inhibition while leaving reactive inhibition unaffected, consistent with a key role for the indirect basal ganglia pathway in proactive response inhibition.

neuroscience↗

Serum Bile Acid Dysregulation in Polycystic Ovary Syndrome: Quantitative Insights from Mass Spectrometry-Based Profiling

BackgroundPolycystic ovary syndrome (PCOS) is a prevalent endocrine disorder with substantial metabolic comorbidities, including obesity, insulin resistance, and dyslipidaemia. Beyond their classical digestive role, bile acids (BAs) function as metabolic signalling molecules that regulate glucose and lipid homeostasis and inflammation through receptors such as the farnesoid X receptor (FXR) and Takeda G-protein receptor 5 (TGR5). However, bile acid dysregulation in PCOS remains inadequately characterised. MethodsTargeted serum bile acid profiling was performed in PCOS (n = 86) and healthy controls (n = 60) using a validated LC-MS/MS method. Individual bile acids were quantified and classified into primary, secondary, and conjugated forms. Multivariate analyses were applied to identify group-level metabolic patterns. Functional bile acid indices reflecting hepatic conjugation and microbial transformation were calculated. Correlation analyses assessed between bile acids and clinical variables. ResultsPCOS women exhibited significantly higher serum levels of cholic acid and conjugated bile acids. Multivariate analyses revealed distinct bile acid signatures differentiating PCOS from controls, with deoxycholic acid, taurocholic acid, and cholic acid contributing most strongly to group separation. Pathway-based indices demonstrated an expanded conjugated bile acid pool, an increased conjugated-to-unconjugated bile acid ratio, and altered secondary-to-primary bile acid balance in PCOS. Several bile acids showed significant associations with androgen levels and gonadotropin ratios. ConclusionPCOS is characterised by coordinated alterations in bile acid metabolism, including hepatic synthesis, conjugation, and gut microbial transformation, highlighting bile acids as integrative metabolic signals linking endocrine and metabolic dysfunction in PCOS.

biochemistry↗

Metabolomic Profiling of Serum Biomarkers in Women with Polycystic Ovary Syndrome: Insights from an Untargeted Approach

BackgroundPolycystic ovary syndrome (PCOS) is a complex endocrine disorder characterized by metabolic dysregulation. Identifying serum biomarkers can enhance our understanding of its pathophysiology. This study employs an untargeted metabolomic approach to investigate metabolic alterations in PCOS. MethodsSerum samples were collected from 71 women with PCOS and 54 healthy controls. Untargeted Metabolomic profiling was performed using liquid chromatography-mass spectrometry (LC-MS) to identify differentially abundant metabolites. Pathway analysis was conducted to identify key metabolic disruptions, and correlations between identified metabolites and clinical parameters were assessed. ResultsThe metabolomics analysis identified 24 upregulated and 17 downregulated metabolites in PCOS compared with controls. These metabolites mainly include glycerophospholipids, fatty acids, sphingolipids, peptides, ceramides, and steroids. Pathway analysis indicated that these metabolites were enriched in pathways including bile acid biosynthesis, glycerolipid metabolism, tryptophan metabolism, the citric acid cycle, and fatty acid metabolism. Increased levels of branched-chain and aromatic amino acids suggested potential links to insulin resistance. Disruptions in bile acid metabolism pointed to altered gut microbiome interactions. Additionally, metabolites related to oxidative stress and mitochondrial function indicated metabolic dysfunction. Correlation analyses revealed associations between altered metabolites and clinical markers such as insulin resistance and androgen levels. ConclusionThis study reveals distinct serum metabolic alterations in PCOS, emphasizing their association with insulin resistance and inflammation. These findings highlight the potential of metabolomics to identify novel biomarkers for early diagnosis and to develop targeted therapeutic strategies.

biochemistry↗

AI-Driven and 3D-Bioprinted New Approach Methodology (NAM) Identifies NEO100 as Potent Ultrasound-Activated Therapeutic for Primary and Metastatic Brain Tumors

Primary and metastatic brain tumors are among the deadliest and treatment-resistant cancers, mainly because of their inherent resistance to chemoradiation and limited drug delivery across the blood-brain barrier (BBB). Identifying molecules that can cross the BBB and serve as sonosensitizers is crucial for developing noninvasive, targeted therapies such as sonodynamic therapy (SDT). To overcome the limitations of traditional low-throughput screening, a New Approach Methodology (NAM) was developed, starting with AI-driven molecular discovery. A positive-unlabeled neural network, trained on over 200 molecular descriptors, was used to predict compounds likely to respond to focused ultrasound (FUS), penetrate the BBB, and mediate therapeutic sonodynamic activity. While AI helps prioritize potent candidates, effective SDT also depends on clinically scalable FUS delivery. Low-intensity FUS enables noninvasive activation of small molecules in the brain and has been validated in several clinical settings. Therefore, AI-guided predictions were combined with ultrasound-based sonodynamic testing using parameters relevant to human therapy. A major challenge in SDT development is the lack of rapid, physiologically relevant tumor models, as traditional 3D organoids take weeks to mature, delaying validation. To address this, a magnetic bioprinting platform was used to produce uniform 3D tumor spheroids within hours, enabling high-throughput screening of SDT. These spheroids replicate key microenvironmental gradients, supporting reliable ultrasound-driven cytotoxicity testing. Through this combined NAM pipeline, AI identified NEO100--an ultrapure, pharmaceutical-grade perillyl alcohol currently in Phase 2a clinical trials--as a promising sonosensitizer candidate. These predictions were validated in rapidly 3D bioprinted tumor models representing glioblastoma, Group 3 pediatric medulloblastoma, meningioma, and breast-to-brain and lung-to-brain metastases. In all tumor types, ultrasound activation significantly increased NEO100s cytotoxicity. Given its established safety profile in humans and ability to cross the BBB, NEO100 demonstrates how integrating AI-based molecular discovery, accelerated 3D bioprinting, and clinically relevant ultrasound parameters can rapidly advance precision sonodynamic therapies for various primary and metastatic brain cancers.

cancer biology↗

Apoptosis reveals human evolutionary heritage sequestered in non-coding DNA

Cell-free chromatin particles (cfChPs), primarily derived from non-coding DNA (ncDNA) and released from apoptotic cells into the bloodstream, can be horizontally transferred into living cells. However, their potential role in generating ncDNA within recipient cells remains unknown. We previously reported that cfChP- sized fragments generated upon sonicating high-molecular-weight DNA can indiscriminately transmit themselves into foreign cells across species and kingdom boundaries. We hypothesized that cfChP-like DNA-protein complexes generated following organismal death have been exchanged among species and have progressively accumulated to form a dense patchwork that now constitutes the ncDNA, and that apoptosis may dissociate these complexes, rendering them amenable to detection. To test this hypothesis, we used species-specific DNA fluorescent in situ hybridisation probes and antibodies against archaea, eubacteria, plants, algae, fungi, protozoa, Drosophila, fish, chicken, mouse, rat, pig, dog, and monkey on intact and apoptotic human cells. We detected no reactivity with intact cells but strong reactivity with the ncDNA component of apoptotic cells. These findings indicate that ncDNA represents a dense conglomeration of DNA-protein complexes derived from different species that become detectable following apoptosis. This suggests that human evolutionary heritage is conserved within ncDNA formed through progressive accumulation of genetic fragments transferred horizontally following organismal death.

evolutionary biology↗

Efficient mixed representation of active and passive motion in the mouse visual thalamus during natural behaviour

Most retinal motion is generated by the observer's movements. These are often self-generated (active) but can also arise from external forces such as gravity (passive). Active movements modulate spontaneous and visually evoked activity throughout the visual system, providing neural circuits with information about behavioural state. By contrast, much less is known about how visual circuits represent passive movements. Critically, it remains unclear whether the retina-recipient thalamus tracks passive motion and, if so, whether this representation is separable from active motion. To address these questions, we developed a paradigm that dissociates active and passive motion in freely moving mice and used it to examine their effects on neural activity. Mice actively explored an arena while intermittent floor tilts induced passive movement. By combining 3D reconstructions of animal pose and arena motion, we quantified active and passive linear and angular motion independently, even when they occurred simultaneously. We found that neurons in the dorsal lateral geniculate nucleus (dLGN) and surrounding regions tracked combinations of active and passive motion signals both in the dark and during visual stimulation. Individual neurons differentially weighted active and passive motion signals. This diversity enabled active and passive motion signals to be linearly decoded and partially separated from population activity, while recurrent dynamics retained passive motion information over timescales of several seconds. These findings identify a coding strategy through which early visual circuits integrate active and passive motion into an estimate of self-motion while preserving information about whether visual inputs arise from self-generated or externally imposed movements.

neuroscience↗

The Regulation of COX-2, ABCA1 and ABCG1 by the lncRNA PACERR links the inflammatory response and cholesterol homeostasis

Cyclooxygenase-2 (COX-2) has an established role in inflammation and its inhibition by non-steroidal anti-inflammatory drugs (NSAIDs) is clinically efficacious1,2. However, placebo-controlled trials of COX-2 inhibitors have revealed a cardiovascular hazard. This has been attributed to suppression of COX-2 dependent cardioprotective prostaglandins (PGs), especially prostacyclin, produced by endothelial (EC) and vascular smooth muscle cells (vSMC) 1-3. Upstream of these effects, we have found that the COX-2 antisense long non-coding RNA (lncRNA) PACERR interacts with discrete RNA binding proteins to mediate the cell specific COX-2 response to both anti-[high-density lipoprotein (HDL)] and pro-inflammatory [lipopolysaccharide (LPS)] stimuli. PACERR exerts its action both in cis and in trans, controlling the expression of COX-2 and the cholesterol transport genes, ABCA1 and ABCG1. When cells are exposed to HDL, PACERR is transcribed, leading to the release of bound histone acetyltransferase p300 and its relocation to the promoter of COX-2 which is then transcribed leading to PG formation. In concert, PACERR also releases heterogeneous nuclear ribonucleoprotein L (hnRNPL) which relocates to the ABCA1 and ABCG1 gene loci, controlling mRNA alternative splicing and subsequent cholesterol efflux to HDL. Silencing PACERR, with an antisense oligonucleotide (ASO), augments the COX-2 and cholesterol efflux in response to HDL. In response to HDL, PACERR associates with its neighboring gene, cytosolic phospholipase A2 (cPLA2/PLA2G4A) both interacting with an enhancer element affecting cPLA2 transcriptional activation and escorting the cPLA2 protein to the nuclear membrane. There, it releases arachidonic acid, further activating COX-2 but limiting ABCA1 and ABCG1 by suppressing the formation of the LXR/RXR heterodimers required for their transcription when cholesterol efflux is no longer required4. In response to LPS, PACERR controls the action of the NF{kappa}B repressive protein, I{kappa}B{zeta}. When PACERR is silenced in a humanized mouse model with the ASO, I{kappa}B{zeta} is free to bind to the NF{kappa}B site in the COX-2 promoter, suppressing transcription, PG formation and systemic inflammation. In summary, these studies reveal dual and complementary mechanisms by which PACERR modulates PG production by COX-2. In response to HDL, it enhances production of prostacyclin whereas it dampens production of the PG response to LPS.

cell biology↗

Histone acetylation alters nuclear morphology and architecture of human mesenchymal stem cells in rigidity dependent manner

Nuclear morphology which is closely linked to various cell functions and disease states, is known to be modulated by mechanical stimuli and chromatin modifications. However, the combined effects of substrate rigidity and chromatin modifications remain largely unexplored. In this study, we investigated the interplay between substrate rigidity and histone acetylation, mediated by the histone deacetylase inhibitor (HDACi) valproic acid (VA), in modulating nuclear morphology in human mesenchymal stem cells (hMSCs) cultured on substrates with varying rigidities. We found that VA-induced chromatin decondensation diminished the effects of soft substrates on nuclear morphological parameters, a change not observed on stiff substrates. Furthermore, we showed that the reduction in nuclear stiffness with VA treatment on both substrates was independent of lamin expression, highlighting chromatin decondensation as a key determinant of the observed change in nuclear stiffness. In addition, we demonstrated that soft substrates induced significant nuclear wrinkling, which was alleviated by HDACi treatment, while no such effect of VA was observed on stiff substrates. Together, our findings suggest that chromatin remodeling via HDACi can override substrate-dependent nuclear mechanotransduction on soft substrates, offering new insights into the epigenetic regulation of nuclear mechanics with potential implications for pathologies associated with nuclear morphology.

cell biology↗

VIVIDHA: Variant Prediction and Visualization Interface for Dynamic High-throughput Analysis

Large scale genome sequencing projects have produced huge datasets that pose challenges of high processing times especially for variant calling, a significant downstream analysis step. Efficient utilization of computational resources for accurate variant prediction in a timely manner is possible using Hadoop MapReduce framework. We have developed VIVIDHA (Variant Prediction and Visualization Interface for Dynamic High-throughput Analysis), a high throughput methodology for prediction of variants based on splitting the alignment file using overlapping regions using Hadoop MapReduce framework. The size of overlap region is user-defined. Three variant callers viz. GATK, VarScan2 and BCFTools have been included to predict variants using a consensus approach. Speed-up observed provides the rationale of better performance as number of compute cores and file size are increased. VIVIDHA is available in both GUI as well as command-line modes and can be downloaded from URL: https://github.com/bioinformatics-cdac/VividhaInstaller

bioinformatics↗

Metabolomic Response to Non-Steroidal Anti-Inflammatory Drugs

Non-steroidal anti-inflammatory drugs (NSAIDs) are popular choices for the mitigation of pain and inflammation; however, they are accompanied by side effects in the gastrointestinal and cardiovascular systems. We compared the effects of naproxen, a traditional NSAID, and celecoxib, a cyclooxygenase -2 (Cox-2) inhibitor, in humans. Our findings showed a decrease in tryptophan and kynurenine levels in plasma of volunteers treated with naproxen. We further validated this result in mice. Additionally, we find that the depression of tryptophan was independent of both Cox-1 and Cox-2 inhibition, but rather was due to the displacement of bound tryptophan by naproxen. Supplementation of tryptophan in naproxen-treated mice rescued fecal blood loss and inflammatory gene expression driven by IL-1{beta} in the heart.

systems biology↗

Interplay of YEATS2 and GCDH mediates histone crotonylation and drives EMT in head and neck cancer

The regulation of gene expression is an integral cellular process orchestrated by epigenetic marks like histone modifications. Perturbations in the activity or abundance of epigenetic factors can lead to tumorigenesis. Remarkably, several metabolites influence the epigenetic landscape in cells. Here, we investigated the interplay between a highly expressed epigenetic factor, YEATS2, and a metabolic enzyme, GCDH, in regulating epithelial-to-mesenchymal transition in head and neck cancer. We report that the histone reader YEATS2 is responsible for increased invasive potential in head and neck cancer in an SP1-dependent manner. YEATS2 functions by maintaining histone crotonylation, and its abrogation leads to a global decrease in the H3K27cr mark. Mechanistically, we report that YEATS2 maintains high promoter H3K27cr levels by assisting in the recruitment of crotonyltransferase p300 at the promoter of the EMT-promoting gene SPARC. Further, we found that the addition of the H3K27cr mark is also dependent on the crotonyl-CoA-producing enzyme GCDH. Overall, we describe a novel mechanism of interplay between epigenetics and metabolism in head and neck tumorigenesis, which results in the enhanced expression of EMT-related genes in a histone crotonylation-dependent manner.

cancer biology↗

Disruption of the PGE2 synthesis / response pathway restrains atherogenesis in programmed cell death-1 (Pd-1) deficient hyperlipidemic mice

Immune checkpoint inhibitors (ICIs) that target programmed cell death 1 (PD-1) have revolutionized cancer treatment by enabling the restoration of suppressed T-cell cytotoxic responses. However, resistance to single-agent ICIs limits their clinical utility. Combinatorial strategies enhance their antitumor effects, but may also enhance the risk of immune related adverse effects of ICIs. Prostaglandin (PG) E2, formed by the sequential action of the cyclooxygenase (COX) and microsomal PGE synthase (mPGES-1) enzymes, acting via its E prostanoid (EP) receptors, EPr2 and EPr4, promotes lymphocyte exhaustion, revealing an additional target for ICIs. Thus, COX inhibitors and EPr4 antagonists are currently being combined with ICIs potentially to enhance antitumor efficacy in clinical trials. However, given the cardiovascular (CV) toxicity of COX inhibitors, such combinations may increase the risk particularly of CV AEs. Here, we compared the impact of distinct approaches to disruption of the PGE2 synthesis /response pathway - global or myeloid cell specific depletion of mPges-1 or global depletion of Epr4 - on the accelerated atherogenesis in Pd-1 deficient hyperlipidemic (Ldlr-/-) mice. All strategies restrained the atherogenesis. While depletion of mPGES-1 suppresses PGE2 biosynthesis, reflected by its major urinary metabolite, PGE2 biosynthesis was increased in mice lacking EPr4, consistent with enhanced expression of aortic Cox-1 and mPges-1. Deletions of mPges-1 and Epr4 differed in their effects on immune cell populations in atherosclerotic plaques; the former reduced neutrophil infiltration, while the latter restrained macrophages and increased the infiltration of T-cells. Consistent with these findings, chemotaxis by bone-marrow derived macrophages from Epr4-/- mice was impaired. Epr4 depletion also resulted in extramedullary lymphoid hematopoiesis and inhibition of lipoprotein lipase activity (LPL) with coincident spelenomegaly, leukocytosis and dyslipidemia. Targeting either mPGES-1 or EPr4 may restrain lymphocyte exhaustion while mitigating CV irAEs consequent to PD-1 blockade.

pharmacology and toxicology↗

Revealing the Biophysics of Lamina-Associated Domain Formation by Integrating Theoretical Modeling and High-Resolution Imaging

The interactions between chromatin and the nuclear lamina orchestrate cell type-specific gene activity by forming lamina-associated domains (LADs) which preserve cellular characteristics through gene repression. However, unlike the interactions between chromatin segments, the strength of chromatin-lamina interactions and their dependence on cellular environment are not well understood. Here, we develop a theory to predict the size and shape of peripheral heterochromatin domains by considering the energetics of chromatin-chromatin interactions, the affinity between chromatin and the nuclear lamina and the kinetics of methylation and acetylation9in human mesenchymal stem cells (hMSCs). Through the analysis of super-resolution images of peripheral heterochromatin domains using this theoretical framework, we determine the nuclear lamina-wide distribution of chromatin-lamina affinities. We find that the extracted affinity is highly spatially heterogeneous and shows a bimodal distribution, indicating regions along the lamina with strong chromatin binding and those exhibiting vanishing chromatin affinity interspersed with some regions exhibiting a relatively diminished chromatin interactions, in line with the presence of structures such as nuclear pores. Exploring the role of environmental cues on peripheral chromatin, we find that LAD thickness increases when hMSCs are cultured on a softer substrate, in correlation with contractility-dependent translocation of histone deacetylase 3 (HDAC3) from the cytosol to the nucleus. In soft microenvironments, chromatin becomes sequestered at the nuclear lamina, likely due to the interactions of HDAC3 with the chromatin anchoring protein LAP2{beta} ,increasing chromatin-lamina affinity, as well as elevated levels of the intranuclear histone methylation. Our findings are further corroborated by pharmacological interventions that inhibit contractility, as well as by manipulating methylation levels using epigenetic drugs. Notably, in the context of tendinosis, a chronic condition characterized by collagen degeneration, we observed a similar increase in the thickness of peripheral chromatin akin to that of cells cultured on soft substrates consistent with theoretical predictions. Our findings underscore the pivotal role of the microenvironment in shaping genome organization and highlight its relevance in pathological conditions.

biophysics↗

Inhibition of CELA1 Improves Septation in the Mouse Hyperoxia Model of Impaired Alveolar Development

A key feature of bronchopulmonary dysplasia (BPD) is impaired alveolar septation. In later live, BPD survivors are more susceptible to childhood respiratory problems and have reduced respiratory function as adults. Chymotrypsin-like elastase 1 (CELA1) is a serine protease expressed in AT2 cells that mediates emphysema progression in adult mouse models. CELA1 binds and cleaves tropoelastin in response to strain. Its expression is developmentally regulated. Using the mouse hyperoxia model of impaired alveolar development we hypothesized a role for CELA1 in impaired alveolar development (IAD). In C57BL6 mouse pup lungs exposed to 80% oxygen for 14 days Cela1 mRNA increased 1.9-fold (p<0.05) and protein 2.6-fold (p<0.01). Protein levels normalized after 14 days in room air. Analysis of an existing single cell mRNA-seq dataset showed Cela1 mRNA in AT2 cells, alveolar macrophages and interstitial macrophages. The fraction of cells with Cela1 mRNA increased with hyperoxia. By flow cytometry the only Cela1-specific difference in immune cell populations was a 2-fold increase in lung eosinophils in room air (p<0.05). After 14 days of exposure to 80% oxygen Cela1-/- mice had better alveolarization with an average mean linear intercept of 80 m compared to 111m (p<0.001). Treatment of hyperoxia-exposed pups with subcutaneous anti-Cela1 KF4 antibody offered similar protection compared to IgG (59 m vs. 67 m, p<0.001).Human BPD specimens demonstrated CELA1 in AT2 cells and myeloid cells. These data indicate that hyperoxia-induced increases in CELA1 are partially responsible for IAD and suggest a potential role in premature neonates exposed to high FiO2.

developmental biology↗

KF4 anti-CELA1 Antibody and Purified α1-Antitrypsin Have Similar but Not Additive Efficacy in Preventing Emphysema in Murine α1-Antitrypsin Deficiency

Alpha-1 antitrypsin (AAT) deficiency is the most common genetic cause of emphysema. Chymotrypsin-like Elastase 1 (CELA1) is a serine protease neutralized by AAT and is important in emphysema progression. Cela1-deficiency is protective in a murine models of AAT-deficient emphysema. KF4 anti-CELA1 antibody prevented emphysema in PPE and cigarette smoke models in wild type mice. We evaluated potential toxicities of KF4 and its ability to prevent emphysema in AAT deficiency. We found Cela1 protein expression in mouse lung, pancreas, small intestine, and spleen. In toxicity studies, mice treated with KF4 25 mg/kg weekly for four weeks showed an elevation in blood urea nitrogen and slower weight gain compared to lower doses or equivalent dose IgG. In histologic grading of tissue injury of the lung, kidney, liver, and heart, there was some evidence of liver injury with KF4 25 mg/kg, but in all tissues, injury was less than in control mice subjected to cecal ligation and puncture. In efficacy studies, KF4 doses as low as 0.5 mg/kg reduced the lung elastase activity of AAT-/-mice treated with 0.2 units of PPE. In this injury model, AAT-/-mice treated with KF4 1 mg/kg weekly, human purified AAT 60 mg/kg weekly, and combined KF4 and AAT treatment had less emphysema than mice treated with IgG 1 mg/kg weekly. However, the efficacy of KF4, AAT, or KF4 & AAT was similar. While KF4 might be an alternative to AAT replacement, combined KF4 and AAT replacement does not confer additional benefit.

pathology↗

Construction of an Immunoinformatics-Based Multi-Epitope Vaccine Candidate targeting Kyasanur Forest Disease Virus

Kyasanur Forest Disease (KFD) is one of the neglected tick-borne viral zoonoses. KFD virus was initially considered endemic to the Western Ghats region of Karnataka. Still, over the years, there have been reports of its spread to newer areas within and outside Karnataka. The absence of an effective treatment for KFD expedites the need for further research and development of novel vaccines. The present study was designed to develop a multi-epitope vaccine candidate against KFDV using immunoinformatic tools. After analyzing 74 complete KFDV genome sequences for genetic recombination and phylogeny, different prioritized B and T cell epitopes were combined using various linkers to construct the vaccine candidate. Docking analysis of the designed vaccine construct revealed a stable interaction with the TLR2-TLR6 receptor complex. After confirming the stability of the vaccine receptor complex, codon optimization was done to ensure the efficient translation of the designed multi-epitope vaccine in the prokaryotic host system, and the subsequent in-silico cloning into the pET30b(+) expression vector was carried out. Immunoinformatics analysis of the multi-epitope vaccine in the current study is satisfactory as it can significantly accelerate the initial stages of vaccine development by narrowing down potential vaccine candidates and providing insights into their design. Experimental validation of the potential multi-epitope vaccine candidate remains crucial to confirm effectiveness and safety in real-world conditions.

bioinformatics↗

IRF3 regulates neuroinflammatory responses and the expression of genes associated with Alzheimer's disease.

The pathological role of interferon signaling is emerging in neuroinflammatory disorders, yet, the specific role of Interferon Regulatory Factor 3 (IRF3) in neuroinflammation remains poorly understood. Here, we show that global IRF3 deficiency delays TLR4-mediated signaling in microglia and attenuates the hallmark features of LPS-induced inflammation such as cytokine release, microglial reactivity, astrocyte activation, myeloid cell infiltration, and inflammasome activation. Moreover, expression of a constitutively active IRF3 (S388D/S390D:IRF3-2D) in microglia induces a transcriptional program reminiscent of the Activated Response Microglia and the expression of genes associated with Alzheimers Disease, notably apolipoprotein-e. Lastly, using bulk-RNAseq of IRF3-2D brain myeloid cells, we identified Z-DNA binding protein-1 as a target of IRF3 that is relevant across various neuroinflammatory disorders. Together, our results identify IRF3 as an important regulator of LPS-mediated neuroinflammatory responses and highlight IRF3 as a central regulator of disease-specific gene activation in different neuroinflammatory diseases.

neuroscience↗