Exploration Of Dynamics Research Articles

PAAD: Panelization algorithm for architectural designs.

Due to the competitive nature of the construction industry, the efficiency of requirement analysis is important in enhancing client satisfaction and a company's reputation. For example, determining the optimal configuration of panels (generally called panelization) that form the structure of a building is one aspect of cost estimation. However, existing methods typically rely on rule-based approaches that may lead to suboptimal material usage, particularly in complex designs featuring angled walls and openings. Such inefficiency can increase costs and environmental impact due to unnecessary material waste. To address these challenges, this research proposes a Panelization Algorithm for Architectural Designs, referred to as PAAD, which utilizes a genetic evolutionary strategy built on the 2D bin packing problem. This method is designed to balance between strict adherence to manufacturing constraints and the objective of optimizing material usage. PAAD starts with multiple potential solutions within the predefined problem space, facilitating dynamic exploration of panel configurations. It approaches structural rules as flexible constraints, making necessary corrections in post-processing, and through iterative developments, the algorithm refines panel sets to minimize material use. The methodology is validated through an analysis against an industry implementation and expert-derived solutions, highlighting PAAD's ability to surpass existing results and reduce the need for manual corrections. Additionally, to motivate future research, a synthetic data generator, the architectural drawing encodings used, and a preliminary interface are also introduced. This not only highlights the algorithm's practical applicability but also encourages its use in real-world scenarios.

Amphiphilic coumarin-based probes for live-cell STED nanoscopy of plasma membrane

Plasma membranes are vital biological structures, serving as protective barriers and participating in various cellular processes. In the field of super-resolution optical microscopy, stimulated emission depletion (STED) nanoscopy has emerged as a powerful method for investigating plasma membrane-related phenomena. However, many applications of STED microscopy are critically restricted by the limited availability of suitable fluorescent probes. This paper reports on the development of two amphiphilic membrane probes, SHE-2H and SHE-2N, specially designed for STED nanoscopy. SHE-2N, in particular, demonstrates quick and stable plasma membrane labelling with negligible intracellular redistribution. Both probes exhibit outstanding photostability and resolution improvement in STED nanoscopy, and are also suited for two-photon excitation microscopy. Furthermore, microscopy experiments and cytotoxicity tests revealed no noticeable cytotoxicity of probe SHE-2N at concentration used for fluorescence imaging. Spectral analysis and fluorescence lifetime measurements conducted on probe SHE-2N using giant unilamellar vesicles, revealed that emission spectra and fluorescence lifetimes exhibited minimal sensitivity to lipid composition variations. These novel probes significantly augment the arsenal of tools available for high-resolution plasma membrane research, enabling a more profound exploration of cellular processes and dynamics.

Enhancing Biohydrogen Production: The Role of Iron-Based Nanoparticles in Continuous Lactate-Driven Dark Fermentation of Powdered Cheese Whey

Here, a comprehensive investigation was conducted under various operational strategies aimed at enhancing biohydrogen production via dark fermentation, with a specific focus on the lactate metabolic pathway, using powdered cheese whey as a substrate. Initially, a batch configuration was tested to determine both the maximum hydrogen yield (100.2 ± 4.2 NmL H2/g CODfed) and the substrate (total carbohydrates) consumption efficiency (94.4 ± 0.8%). Subsequently, a transition to continuous operation was made by testing five different operational phases: control (I), incorporation of an inert support medium for biomass fixation (II), addition of carbon-coated, zero-valent iron nanoparticles (CC-nZVI NPs) at 100 mg/L (III), and supplementation of Fe2O3 nanoparticles at concentrations of 100 mg/L (IV) and 300 mg/L (V). The results emphasized the critical role of the support medium in stabilizing the continuous system. On the other hand, a remarkable increase of 10% in hydrogen productivity was observed with the addition of Fe2O3 NPs (300 mg/L). The analysis of the organic acids’ composition unveiled a positive correlation between high butyrate concentrations and improved volumetric hydrogen production rates (25 L H2/L-d). Moreover, the presence of iron-based NPs effectively regulated the lactate concentration, maintaining it at low levels. Further exploration of the bacterial community dynamics revealed a mutually beneficial interaction between lactic acid bacteria (LAB) and hydrogen-producing bacteria (HPB) throughout the experimental process, with Prevotella, Clostridium, and Lactobacillus emerging as the predominant genera. In conclusion, this study highlighted the promising potential of nanoparticle addition as a tool for boosting biohydrogen productivity via lactate-driven dark fermentation.

Investigating Hydrogen Bonding Interactions in Aniline‐Acetone Binary Mixture through Molecular Dynamics Simulations

AbstractBinary liquid systems serve as valuable prototypes for comprehending biologically and chemically relevant properties of hydrogen bonds, revealing both noteworthy patterns and anomalies in their behaviour. Aniline, acetone and their binary mixtures with other liquids are used in various industrial processes, drug design, and as cleaning agents. This study is a molecular dynamics exploration of aniline and acetone binary mixture, over a concentration range of 9 : 1–1 : 9 for each component. The investigation includes employing techniques such as radial distribution function (RDF), coordination number calculation, hydrogen bond statistics, and graph theoretical analysis (GTA) through the NetworkX module in python, cluster analysis, Voronoi entropy calculation, interaction energy calculation and FTIR spectroscopy for all concentrations studied. The results uncover a compelling trend: a decrease in the number of hydrogen bonds as the concentration of acetone increases. Additionally, increased acetone concentration correlates positively with the breakdown of larger and more complex hydrogen‐bonded structures, indicating the formation of small hydrogen‐bond structures.

Integrative analysis of bone-formation associated genes and immune cell infiltration in osteoporosis, and the prediction of active ingredients in targeted traditional Chinese medicine

ObjectiveTo explore the differential expression and mechanisms of bone formation-related genes in osteoporosis (OP) leveraging bioinformatics and machine learning methodologies, and to predict the active ingredients of targeted traditional Chinese medicine (TCM) herbs. MethodsThe Gene Expression Omnibus (GEO) and GeneCards databases were employed to conduct a comprehensive screening of genes and disease-associated loci pertinent to the pathogenesis of OP. The R package was utilized as the analytical tool for the identification of differentially expressed genes. Least absolute shrinkage and selection operator (LASSO) logistic regression analysis and support vector machine-recursive feature elimination (SVM-RFE) algorithm were employed in defining the genetic signature specific to OP. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses for the selected pivotal genes were conducted. The cell-type identification by estimating relative subsets of RNA transcripts (CIBERSORT) algorithm was leveraged to examine the infiltration patterns of immune cells, with Spearman’s rank correlation analysis utilized to assess the relationship between the expression levels of the genes and the presence of immune cells. Coremine Medical Database was used to screen out potential TCM herbs for the treatment of OP. Comparative Toxicogenomics Database (CTD) was employed for forecasting the TCM active ingredients targeting the key genes. AutoDock Vina 1.2.2 and GROMACS 2020 softwares were employed to conclude analysis results, facilitating the exploration of binding affinity and conformational dynamics between the TCM active ingredients and their biological targets. ResultsTen genes were identified by intersecting the results from the GEO and GeneCards databases. Through the application of LASSO regression and SVM-RFE algorithm, four pivotal genes were selected: coat protein (CP), kallikrein 3 (KLK3), polymerase γ (POLG), and transient receptor potential vanilloid 4 (TRPV4). GO and KEGG pathway enrichment analyses revealed that these trait genes were predominantly engaged in the regulation of defense response activation, maintenance of cellular metal ion balance, and the production of chemokine ligand 5. These genes were notably associated with signaling pathways such as ferroptosis, porphyrin metabolism, and base excision repair. Immune infiltration analysis showed that key genes were highly correlated with immune cells. Macrophage M0, M1, M2, and resting dendritic cell were significantly different between groups, and there were significant differences between different groups (P < 0.05). The interaction counts of resveratrol, curcumin, and quercetin with KLK3 were 7, 3, and 2, respectively. It shows that the interactions of resveratrol, curcumin, and quercetin with KLK3 were substantial. Molecular docking and molecular dynamics simulations further confirmed the robust binding affinity of these bioactive compounds to the target genes. ConclusionPivotal genes including CP, KLK3, POLG, and TRPV4, exhibited commendable significant prognostic value, and played a crucial role in the diagnostic assessment of OP. Resveratrol, curcumin, and quercetin, natural compounds found in TCM, showed promise in their potential to effectively modulate the bone-forming gene KLK3. This study provides a scientific basis for the interpretation of the pathogenesis of OP and the development of clinical drugs.

Navigating the pandemic: an exploration of health behavioral dynamics among Asian Americans during COVID-19

The COVID-19 pandemic brought Asian Americans sharply into focus, revealing both the strengths and vulnerabilities within this community. Despite a myriad of studies on their experiences and health disparities during the outbreak, gaps persist in our understanding of their health literacy, beliefs, and healthcare behaviors. Leveraging the snowball sampling method, our study engaged 20 diverse Asian Americans, delving into facets ranging from English proficiency and health literacy to cultural health beliefs and preventive behaviors. Notably, participants exhibited high English proficiency and health literacy. Their health choices, shaped by their Asian heritage, showcased a proactive approach to combating COVID-19. Most did not defer or sidestep healthcare, underlining their commitment to well-being. These insights underscore the resilience and adaptability of the Asian American community. By decoding their health behaviors and beliefs, our study aims to refine public health strategies, ensuring they resonate not just with Asian Americans but potentially with other ethnic cohorts amidst global health crises.

Analytical investigation of vesicle dynamics via the modified Riemann-Liouville fractional derivative: Mittag-Leffler function solution and comparative analysis with Caputo's derivative.

The solution of fractional differential equations is a significant focus of current research, given their prevalence in various fields of application. This paper introduces an innovative exploration of vesicle dynamics using Jumarie's modified Riemann-Liouville fractional derivative within a five-dimensional fractional rigid sphere model. The study reveals an exact solution through the Mittag-Leffler function, providing a deep understanding of intricate vesicle dynamics, including alternative motions, such as tank-treading with over-damped and under-damped vesicle oscillations, respectively, TT-OD and TT-UD. A comparative analysis with Caputo's derivative emphasizes the effectiveness of these fractional derivatives, contributing not only to theoretical insights but also practical implications in applied mathematics and biophysical systems. The findings advance our understanding of complex vesicle behaviors, particularly in mimicking real cell-like behaviors, and pave the way for further research and applications in the field.

Civil Society Silos

Abstract Operation Sovereign Borders imposes protracted precarity on people seeking asylum stuck in Australia on restrictive visas. Civil society actors form a movement offering them crucial support, filling a vacuum amplified by neoliberalized welfare. Drawing on fieldwork in Naarm (Melbourne), I provide an intersectional and ethnographic exploration of power dynamics within movements by examining the creation of “civil society silos” based on diverging claims to expertise. I identify and critically analyze five forms of movement expertise—professional, lived, societal, relational, and Indigenous—alongside my own production of research expertise. These forms encompass both an encroachment of racialized neoliberal logics into movement spaces and a channel to subvert bordering regimes. The findings in this article contribute to scholarship on the political potential of civil society movements in neoliberalized migration settings, and to widening definitions of expertise to include marginalized knowledges.

STARDUST: a pipeline for the unbiased analysis of astrocyte regional calcium dynamics.

Calcium imaging has become a popular way to probe astrocyte activity, but few analysis methods holistically capture discrete calcium signals that occur across the astrocyte domain. Here, we introduce STARDUST, a pipeline for the Spatio-Temporal Analysis of Regional Dynamics & Unbiased Sorting of Transients from fluorescence recordings of astrocytes, and provide step-by-step guidelines. STARDUST yields fluorescence time-series from data-defined regions of activity and performs systematic signal detection and feature extraction, enabling the in-depth and unbiased study of astrocyte calcium signals.

Unveiling therapeutic frontiers: DON/DRP-104 as innovative Plasma kallikrein inhibitors against carcinoma-associated hereditary angioedema shocks - a comprehensive molecular dynamics exploration

Human plasma kallikrein (PKa) is a member of the serine protease family and serves as a key mediator of the kallikrein-kinin system (KKS), which is known for its regulatory roles in inflammation, vasodilation, blood pressure, and coagulation. Genetic dysregulation of KKS leads to Hereditary Angioedema (HAE), which is characterized by spontaneous, painful swelling in various body regions. Importantly, HAE frequently coexists with various cancers. Despite substantial efforts towards the development of PKa inhibitors for HAE, there remains a need for bifunctional agents addressing both anti-cancer and anti-HAE aspects, especially against carcinoma-associated comorbid HAE conditions. Consequently, we investigated the therapeutic potential of the anti-glutamine prodrug, isopropyl(S)-2-((S)-2-acetamido-3-(1H-indol-3-yl)-propanamido)-6-diazo-5-oxo-hexanoate (DRP-104), and its active form, 6-Diazo-5-oxo-l-norleucine (DON), recognized for their anti-cancer properties, as novel PKa inhibitors. Utilizing structure-based in silico methods, we conducted a comparative analysis with berotralstat, a clinically approved HAE prophylactic, and sebetralstat, an investigational HAE therapeutic agent, in Phase 3 clinical trials. Inhibiting PKa with DON resulted in relatively heightened structural stability, rigidity, restricted protein folding, and solvent-accessible loop exposure, contributing to increased intra-atomic hydrogen bond formation. Conversely, PKa inhibition with DRP-104 induced restricted residue flexibility and significantly disrupted the critical SER195-HIS57 arrangement in the catalytic triad. Both DON and DRP-104, along with the reference drugs, induced strong cooperative intra-residue motion and bidirectional displacement in the PKa architecture. The results revealed favorable binding kinetics of DON/DRP-104, showing thermodynamic profiles that were either superior or comparable to those of the reference drugs. These findings support their consideration for clinical investigations into the management of carcinoma-associated HAE.

Unveiling the molecular symphony - A DFT exploration of structure, electronic dynamics, and excited state electron transfer in D-π-A systems, enhanced by TeO2@GQD multi-junctions for solar energy conversion in DSSC

Graphene and graphene-derived materials have sparked a lot of interest because of their unique physico-chemical features, that have positioned graphene as a promising material for future opto-electronics, and energy-harvesting devices. Graphene possesses outstanding mechanical characteristics and chemical inertness, as well as great mobility and optical transparency. Single-layer graphene has a high optical transmissivity that allows it to pass through a wide variety of light wavelengths, making it a popular material for optically conducting windows. Graphene-based metal and metal oxide nanocomposites require substantial investigations to understand the fundamental interactions between nanostructures and the graphene surface in DSSC, for understanding the characteristic features of such nanocomposites. In the present study different donor-π-acceptor, systems were used, which are different in the type of the π –spacer units only. This D-π-A system was then decorated on a (TiO2)9 semiconductor leading to shifting of the absorption wavelength, the absorbed wavelength was further shifted upon interaction with tellurium–oxide@graphene, thereby exploring its application in solar energy harvesting devices. The result of such substitution was assessed in terms of various parameters such as highest occupied molecular orbital (HOMO), least unoccupied molecular orbital (LUMO), energy gap (Egap), maximum wavelength (λmax), the free energy of electron injection efficiency (ΔGinject), open-circuit voltage (Voc), reorganization energy (Δreorg), etc by the DFT method with Gaussian 09 set of codes. The study can prove beneficial for understanding the mechanism of high optical absorption over a broad spectrum in such multijunction systems, the feature which makes them promising materials for efficient optical, electronic, and light-harvesting devices.

High-speed optical imaging with sCMOS pixel reassignment

Fluorescence microscopy has undergone rapid advancements, offering unprecedented visualization of biological events and shedding light on the intricate mechanisms governing living organisms. However, the exploration of rapid biological dynamics still poses a significant challenge due to the limitations of current digital camera architectures and the inherent compromise between imaging speed and other capabilities. Here, we introduce sHAPR, a high-speed acquisition technique that leverages the operating principles of sCMOS cameras to capture fast cellular and subcellular processes. sHAPR harnesses custom fiber optics to convert microscopy images into one-dimensional recordings, enabling acquisition at the maximum camera readout rate, typically between 25 and 250 kHz. We have demonstrated the utility of sHAPR with a variety of phantom and dynamic systems, including high-throughput flow cytometry, cardiomyocyte contraction, and neuronal calcium waves, using a standard epi-fluorescence microscope. sHAPR is highly adaptable and can be integrated into existing microscopy systems without requiring extensive platform modifications. This method pushes the boundaries of current fluorescence imaging capabilities, opening up new avenues for investigating high-speed biological phenomena.

Unveiling the Power of Flavonoids: A Dynamic Exploration of Their Impact on Cancer through Matrix Metalloproteinases Regulation

Unveiling the Power of Flavonoids: A Dynamic Exploration of Their Impact on Cancer through Matrix Metalloproteinases Regulation

Интегрированный подход в образовании как ресурс творческого развития обучающихся на уроках литературы

The modern landscape of education underscores the imperative of nurturing students’ creativity within the confines of modern societal paradigms. This article delves into the multifaceted realm of creative development within the educational sphere, scrutinizing the concept of “integration” and interrogating its pertinence in the current educational discourse. Drawing from historical perspectives, the seminal viewpoints of educational luminaries such as J.A. Comenius, I.G. Pestalozzi, and K.D. Ushinsky are meticulously examined, providing a foundational framework for understanding the evolution of pedagogical methodologies. A pivotal observation made by educators is the judicious using of interdisciplinary connections in the pedagogical process, serving as a catalyst for the inception of integrated learning paradigms. This study, in particular, directs its focus towards the nascent stages of interdisciplinary integration in the educational landscape of early XX century Russia. Methodologies underpinning teaching practices predicated on an integrated approach are dissected, alongside an exploration of the intricacies of literature lessons contextualized within the framework of interdisciplinary communication. The article expounds upon the pedagogical efficacy of the integrated approach vis-à-vis literature instruction, exemplified through the elucidation of an integrated lesson drawing from diverse educational domains, including but not limited to chemistry and literature. A fragment of a literature lesson designed for 10th-grade students is elucidated, wherein the denouement of Ivan Turgenev’s novel “Fathers and Sons” serves as the backdrop for students’ exploration of character dynamics through the lens of chemical reactions. Furthermore, the article showcases excerpts of student-authored compositions and children’s elucidations of experiments, along with equations elucidating substance interactions. In conclusion, this research contributes significantly to the pedagogical discourse surrounding innovative instructional methodologies, underscoring the transformative potential of interdisciplinary integration in fostering students’ holistic development, particularly within the domain of literature education.

In-depth exploration of precipitation dynamics in the Wadi El Bey watershed (North-eastern Tunisia): comprehensive study of rainfall variability and its relationship with teleconnection patterns

In-depth exploration of precipitation dynamics in the Wadi El Bey watershed (North-eastern Tunisia): comprehensive study of rainfall variability and its relationship with teleconnection patterns

Dynamic Coalition Formation among IoT Service Providers: A Systematic Exploration of IoT Dynamics Using an Agent-Based Model.

This paper introduces an Agent-Based Model (ABM) designed to investigate the dynamics of the Internet of Things (IoT) ecosystem, focusing on dynamic coalition formation among IoT Service Providers (SPs). Drawing on insights from our previous research in 5G network modeling, the ABM captures intricate interactions among devices, Mobile Network Operators (MNOs), SPs, and customers, offering a comprehensive framework for analyzing the IoT ecosystem's complexities. In particular, to address the emerging challenge of dynamic coalition formation among SPs, we propose a distributed Multi-Agent Dynamic Coalition Formation (MA-DCF) algorithm aimed at enhancing service provision and fostering collaboration. This algorithm optimizes SP coalitions, dynamically adjusting to changing demands over time. Through extensive experimentation, we evaluate the algorithm's performance, demonstrating its superiority in terms of both payoff and stability compared to three classical coalition formation algorithms: static coalition, non-overlapping coalition, and random coalition. This study significantly contributes to a deeper understanding of the IoT ecosystem's dynamics and highlights the potential benefits of dynamic coalition formation among SPs, providing valuable insights and opening future avenues for exploration.

Working through multiple crises: the experience of psychotherapists and psychoanalysts in Lebanon

IntroductionThis research explores the impact of the COVID-19 pandemic on psychotherapists' practices and their ability to maintain a framework despite a shared reality with their patients. The specific focus in this article is on the Lebanese context, which is characterized by a series of crises including economic collapse, the COVID-19 pandemic, and the Beirut blast. The objective of this study was to examine how the destabilization of the meta-frame due to crises necessitates adaptations in theoretical knowledge, practice, and setting.MethodsWe conducted a qualitative study among a population consisting of mental health professionals, which were recruited in Lebanon through associations and societies of psychologists, psychotherapists, and psychoanalysts. Data was collected using semi-structured individual interviews. The interviews were analyzed using interpretative phenomenological analysis (IPA), which allowed for a dynamic exploration of the participants' experiences.ResultsOur study revealed four superordinate themes: (1) The strained frontiers; (2) The cumulative traumatic reality and its impact; (3) A challenged professional identity; (4) The creativity stemming from collective trauma.ConclusionsOur results highlight the insecurity caused by external reality infiltrating the therapeutic setting. Online therapy allowed for continued work, but uncertainty about the online environment's impact on therapeutic relationships was observed. The study underscores the importance of adaptability, containment, and support for therapists navigating crises, particularly in the online setting.

The Metaverse Virtual Economy: A Comprehensive Overview

The concept of the metaverse, where digital and physical realities merge, has garnered significant attention, particularly with advancements in virtual and augmented reality. This study scrutinizes the Metaverse Virtual Economy (MVE), an innovative convergence of real and virtual experiences. By synthesizing insights from prior research on the metaverse, the article explores transformational factors leading from the real world to the meta-universe, considering economic implications, both microeconomic and macroeconomic. Described as an expansive, closed-loop, perfectly competitive market, the MVE minimizes transaction costs and intermediaries. At a macroeconomic level, the MVE may foster sustainable economic growth; however, this growth might be uneven, reflecting the digital divide. As the integration of the metaverse into daily life continues, and the frictions between the two universes diminish, there arises a need to investigate the impact on economic policymaking including the potential applications of virtual currencies. The findings of his study suggest that the MVE poses both opportunities and challenges for businesses and consumers alike. It also emphasizes the necessity for careful exploration, regulation, and understanding of the complex dynamics to leverage the metaverse as a vital component of the future economy.

Proteomic profiling of peanut hairy root culture unveils distinctive adaptive responses induced by elicitor treatment across diverse time intervals

Plants employ a diverse array of responses to counteract and defend against stressors. Utilizing quantitative proteomic analysis allows for the exploration of global proteomic dynamics in cells and tissues at specific time points. In order to comprehend the intricate mechanisms underlying plant responses, we conducted a proteomic investigation of peanut hairy root cultures induced with a combination of chitosan (CHT), methyl jasmonate (MeJA), and cyclodextrin (CD) at multiple time points. The study identified 292, 317, and 327 differentially expressed proteins (DEPs) in hairy root tissues at 24-, 48-, and 72 h intervals post-elicitation, respectively. Principal component analysis (PCA) distinctly clustered each timepoint of treatment and the control group. Gene ontology (GO) enrichment analysis highlighted terms such as "responding to biotic stimuli" and "defense response" during the early response, with the upregulation of Heat shock cognate 70 kDa protein, Wound-induced protein 1, and Disease resistance-like protein. The 72 h time point specifically showed an upregulation of superoxide dismutase (SOD) and auxin response factor, indicating a delayed response and illustrating how hairy roots adapt to stress in later stages. Furthermore, GO enrichment at later stages implicated alterations in protein production, involving both synthesis and degradation processes. Proteolytic enzymes, including those in the ubiquitin/proteasome pathway, were identified as facilitating protein degradation. The detection of small molecular weight (MW) peptides in the culture medium of elicited hairy roots suggested their origin from the proteolytic cleavage of precursor proteins. The GO enrichment of culture medium peptides pointed towards involvement in signaling pathways. The suggested signaling cascade acts as a potential link that connects the recognition of stress to the initiation of appropriate response to external stressors. This approach delves into dynamic changes in protein expression and secretion patterns over various intervals, providing insights into the plant's adaptive response to external stress.

#2985 Gut microbiome-dependent systemic alterations in experimental chronic kidney disease

Abstract Background and Aims Patients diagnosed with Chronic Kidney Disease (CKD) undergo a notable decline in both quality of life and life expectancy, primarily attributable to the heightened prevalence of cardiovascular diseases (CVD). These conditions not only contribute to the initiation of CKD but are also a consequence of inflammation associated with CKD. Despite optimal kidney replacement therapies, irreversible alterations of the CV system may persist. The responsible mechanisms in CKD leading to CVD are incompletely understood. CKD is characterized by gut microbial dysbiosis, with a significant proportion of uremic toxins suspected to have microbial origin. We hypothesize that the gut microbiota promotes inflammation and CV risk in states of impaired kidney function. Method Experimental CKD was induced in 129sv mice by 5/6 nephrectomy. Prior to nephrectomy, mice were assigned to receive either glucose (Ctrl) or a non-absorptive antibiotic cocktail (comprising Ampicillin, Metronidazole, Neomycin, and Vancomycin, Abx) via the drinking water to deplete their microbiomes throughout the 13-week study period. Ctrl and Abx-treated Sham-operated mice served as controls. Plasma, feces, and urine specimens were systematically collected at diverse time intervals, facilitating the longitudinal exploration of metabolite dynamics and CKD progression through an untargeted Nuclear Magnetic Resonance (NMR) approach. Simultaneously, echocardiography assessments were conducted at identical time points to assess cardiac function. Results Abx-treated CKD mice displayed improved kidney function, demonstrated by significantly reduced levels of plasma Cystatin C (0.2913 ± 0.1850 mg/L) compared to Ctrl (0.9133 ± 0.6616 mg/L)(p = 0.0256). Hearts from Abx-treated CKD mice exhibited significantly less remodeling, independent of their blood pressure (radiotelemetry measurements). The ratio of left ventricular (LV) mass to tibia length was 4.858 ± 0.3453 in the Abx-treated group compared to Ctrl (8.198 ± 0.3542) (p &amp;lt; 0.0001). Sirius red stained hearts revealed significantly less fibrosis in Abx-treated CKD mice (5.784 ± 5.465%) compared to Ctrl (11.98 ± 3.741%) (p = 0.0218). The cardiac expression of several damage-associated genes (Npbb, Ctgf, and Ngal) portrayed the same trend. To elucidate the interplay between the microbiome and the immune system underlying these observed effects, we provide a comprehensive atlas of the immune landscape in different organs (blood, spleen, heart, intestine), along with a catalogue of gut-derived metabolites, shedding light on the systemic alterations induced by microbiome-dependent mechanisms in CKD. Conclusion Our findings suggest that microbiome-dependent mechanisms drive kidney function decline and cardiac remodeling in experimental CKD. These results underscore the interplay between microbial alterations, metabolite dynamics, immune response, and cardiovascular complications in the context of CKD.