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Dash, A.

Publications and source records attributed to Dash, A..

8 recordsLinked to original sources

Hypoxia increases neural proliferation, alters vascular structure, and reprograms the transcriptome and proteome of the speckled sanddab brain

Hypoxia (low oxygen availability) is a common environmental stressor in estuarine ecosystems that negatively affects fish survival as well as physiological and behavioral responses. However, the effects of hypoxia on the brain remains poorly understood, particularly in non-model species. Here, we investigated how prolonged hypoxia influences neural, vascular, and molecular responses in the brain of the speckled sanddab (Citharichthys stigmaeus), an ecologically relevant estuarine flatfish. Fish were exposed to normoxic or hypoxic conditions for seven days, and responses were assessed using histological analyses of neural proliferation and vascular structure, alongside transcriptomic and proteomic profiling. Hypoxia increased neural cell proliferation and progenitor activation in the hypothalamic nucleus recessus lateralis (NRL) and optic tectum, while reducing survival of newly generated cells. At the tissue level, hypoxia induced region-specific vascular remodeling, characterized by increased vessel area and vessel number without evidence of widespread endothelial proliferation. At the molecular level, transcriptomic and proteomic analyses revealed consistent enrichment of biological processes related to stress responses, development, metabolism, and cellular homeostasis, despite limited overlap between individual genes and proteins. Gene- and protein-level analyses further indicated activation of hypoxia-responsive pathways, including HIF signaling and oxidative stress protection, alongside selective metabolic reprogramming. Together, these findings demonstrate that hypoxia induces multi-level changes in the brain, linking neural plasticity, vascular remodeling, and molecular responses. This integrated response likely supports brain function under reduced oxygen availability in dynamic estuarine environments and highlights the role of the brain in regulating responses to environmental stress.

physiology↗

A protease-sensing circuit links neutrophil inflammation to virulence regulation in Streptococcus pyogenes

Streptococcus pyogenes (Group A Streptococcus) causes infections with a disproportionately hyperinflammatory response from the host, such as scarlet fever, necrotizing fasciitis, and toxic shock syndrome. Inflammation is specifically driven by S. pyogenes virulence factors, including the protease SpeB, but how inflammation impacts SpeB expression in return during disease is unknown. In this study, we identify a novel interaction between NETosis, a form of inflammatory cell death for neutrophils, and the induction of speB. Specifically, while the cathelicidin peptide LL-37 can repress speB through the two-component regulatory system CovRS, neutrophil proteases released during NETosis relieve repression of speB by degrading another repressor of speB, the bacterial protein Vfr. Furthermore, at high cell densities, SpeB autoregulates its expression through similar degradation of Vfr. Abrogating the formation of NETs or depleting neutrophils resulted in speB repression in vivo, showing the mutual host and pathogen counterattacks collectively lead to the pathological exacerbations characteristic of disease.

microbiology↗

On the ancestry and evolution of the extinct dire wolf

Dire wolves (Aenocyon dirus) are extinct predators of Pleistocene North America. Although phenotypically similar to living wolves (Canis lupus), dire wolves have yet to be placed confidently in the canid family tree. We generated 3.4x and 12.8x paleogenomes from two well-preserved dire wolves dating to > 13,000 and > 72,000 years ago, and estimated consensus species trees for these and 10 canid species. Our results revealed that [~]2/3 of dire wolf ancestry is derived from a lineage sister to the clade comprising the gray wolf, coyote, and dhole, and the remaining [~]1/3 from a lineage near the base of Canini diversity. We identified 80 genes evolving under diversifying selection in dire wolves. Our results underscore the power of paleogenomes to resolve long-standing taxonomic questions and contribute to growing evidence of the role of post-speciation gene flow as an evolutionary force.

evolutionary biology↗

A Paper-Droplet Hybrid System for Efficient Blood Plasma Separation in Multiplex Diagnostics

Single PAD-based lateral flow blood plasma separation techniques suffer from low sensitivity, inconsistent performance, and extended turnaround times, hindering point- of-care whole blood multiplexing. Integrating multifunctional microfluidic approach could offer a paradigm shift, providing rapid, high-throughput blood testing with reduced sample alongside streamlined downstream automation. Herein we report a novel low-cost sessile-drop and paper hybrid blood plasma separation technique that achieves efficient ([≥] 98 %) separation within seconds ([~]70 s). Evaporation-driven natural convection within a sessile blood droplet facilitates effective mixing, while capillary forces prevalent in the paper structure selectively transport plasma to the detection zones, all without any externally applied motive force. The separated plasma is successfully analysed for simultaneous glucose and albumin detection using colorimetric assay. This method demonstrates high accuracy in predicting glucose and albumin levels in healthy and diseased samples when benchmarked against an Automated Biochemistry Analyzer. A 3D foldable all-in-one paper microfluidic device, complemented by a MATLAB based application (GPS App.) has been developed for quantitative assessment during on-field diagnostics. This study presents a rapid, efficient, and user-friendly alternative to traditional flow-based separation, providing reliable detection in resource-limited settings.

bioengineering↗

RAPID HEMATOCRIT ESTIMATION USING A FOLD-CREASE INDUCED FAST FLOWING PAPER SENSOR

Increased evaporative losses and flow obstructions can present substantial impediments to current paper analytical devices ({micro}PADs) for efficient on-site testing of biological fluids. Strategic enhancements in wicking rates of paper may thereby counter these limitations and enable on-demand healthcare monitoring. Therefore, herein we have leveraged the features of paper fold-crease regions, for the very first time, and developed a novel fast-flowing platform using laser printing to accelerate fluid flow through paper. A series of extensive experiments have been conducted to optimize the design and maximize wicking rates of {micro}PADs for smaller liquid volumes, making it well-suited for analysing biofluids. The investigation delves into structural alterations within the creased regions, employing both static and dynamic force application strategies. A first-generation Washburn type model in excellent agreement with the experimental findings is developed, providing a comprehensive insight into the fundamental physics involved. Finally, the folded channels are utilized for a distance-based hematocrit sensor employing grade-1 filter paper at very low-cost, simplified fabrication, lesser sample volume and faster analysis. The findings of this work unveil a plethora of potentialities for employing paper and paper folds to develop affordable medical devices with advanced analytical functionalities, specifically tailored for the resource-constrained settings. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=113 SRC="FIGDIR/small/577541v1_ufig1.gif" ALT="Figure 1"> View larger version (42K): org.highwire.dtl.DTLVardef@4ba7e4org.highwire.dtl.DTLVardef@fb7945org.highwire.dtl.DTLVardef@1d6df10org.highwire.dtl.DTLVardef@1ceb742_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioengineering↗

A-GHN: Attention-based Fusion of Multiple GraphHeat Networks for Structural to Functional Brain Mapping

Over the last decade, there has been growing interest in learning the mapping from structural connectivity (SC) to functional connectivity (FC) of the brain. The spontaneous fluctuations of the brain activity during the restingstate as captured by functional MRI (rsfMRI) contain rich non-stationary dynamics over a relatively fixed structural connectome. Among the modeling approaches, graph diffusion-based methods with single and multiple diffusion kernels approximating static or dynamic functional connectivity have shown promise in predicting the FC given the SC. However, these methods are computationally expensive, not scalable, and fail to capture the complex dynamics underlying the whole process. Recently, deep learning methods such as GraphHeat networks along with graph diffusion have been shown to handle complex relational structures while preserving global information. In this paper, we propose a novel attention-based fusion of multiple GraphHeat networks (A-GHN) for mapping SC-FC. A-GHN enables us to model multiple heat kernel diffusion over the brain graph for approximating the complex Reaction Diffusion phenomenon. We argue that the proposed deep learning method overcomes the scalability and computational inefficiency issues but can still learn the SC-FC mapping successfully. Training and testing were done using the rsfMRI data of 100 participants from the human connectome project (HCP), and the results establish the viability of the proposed model. Furthermore, experiments demonstrate that A-GHN outperforms the existing methods in learning the complex nature of human brain function.

neuroscience↗

Disrupting the ArcA regulatory network increases tetracycline susceptibility of TetR Escherichia coli

There is an urgent need for strategies to discover secondary drugs to prevent or disrupt antimicrobial resistance (AMR), which is causing >700,000 deaths annually. Here, we demonstrate that tetracycline resistant (TetR) Escherichia coli undergoes global transcriptional and metabolic remodeling, including down-regulation of tricarboxylic acid cycle and disruption of redox homeostasis, to support consumption of the proton motive force for tetracycline efflux. Targeted knockout of ArcA, identified by network analysis as a master regulator among 25 transcription factors of this new compensatory physiological state, significantly increased the susceptibility of TetR E. coli to tetracycline treatment. A drug, sertraline, which generated a similar metabolome profile as the arcA knockout strain also synergistically re-sensitized TetR E. coli to tetracycline. The potentiating effect of sertraline was eliminated upon knocking out arcA, demonstrating that the mechanism of synergy was through action of sertraline on the tetracycline-induced ArcA network in the TetR strain. Our findings demonstrate that targeting mechanistic drivers of compensatory physiological states could be a generalizable strategy to re-sensitize AMR pathogens to lost antibiotics.

systems biology↗

Role of selective Bioactive Compounds as an Angiotensin Converting Enzyme Inhibitor

Hypertension is one of a major reason of mortality and morbidity and it is associated with heart and renal disease. The aim of this study is to find out the antihypertensive role of bioactive compounds from selected medicinal plants targeting ACE molecule which so far is not known. The plants taken in this study were Moringa oleifera, Azadirachta indica, and Hibiscus sabdariffa. The nitric oxide and superoxide scavenging property vary from 39.50% to 68% and 37.67 % to 75.50 %. respectively. The inhibition of ACE activity was found maximally in methanolic extract of A. indica (74 %), followed by H. sabdariffa (73.4%), and least in M. oleifera (71.8 %). The bioactive chloroform fraction was characterized for the presence of compound using standard techniques such as LCMS and NMR (13C-NMR 1H-NMR). The results revealed the presence of beta-sitosterol in M. oleifera, azadiradionolide in A. indica and hibiscitrin in H. sabdariffa. The compounds have shown significant low binding energy for hibiscitrin (-12.3kcal/mol), beta-sitosterol (-11.2kcal/mol) and azadiradionolide (-11.3kcal/mol) indicating the high efficacy of binding on the enzyme. While, binding energy of drug captopril was -5.6kcal/mol & enalpril - 8.1kcal/mol in the same pocket of the ACE molecule. Upon subjecting molecular dynamic simulation results indicated that beta sitosterol complex provided more compactness than the hibiscitrin and azadiradionolide compounds. The current study delivers a new perspective for the drug development against systolic blood pressure regulation and also opens new horizons for considering alternate highly potent drug target for hypertension.

bioinformatics↗