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PubMed2026

Transcriptomic Changes Associated with Electroacupuncture in a DMCAO Model of Delayed Cognitive Impairment.

INTRODUCTION: Delayed Cognitive Impairment (DCIS) occurs in approximately 31% to 77% of individuals following stroke. Clinical findings have indicated that electroacupuncture may alleviate post-stroke DCIS. However, insights derived from animal models remain limited. The present study utilized a Distal Middle Cerebral Artery Occlusion (DMCAO) mouse model to investigate the potential mechanisms of electroacupuncture through hippocampal transcriptomic analysis. MATERIALS AND METHODS: Adult male BALB/c mice were subjected to DMCAO and received electroacupuncture treatment. High-throughput RNA sequencing of hippocampal tissue was performed to identify Differentially Expressed Genes (DEGs). Enrichment analyses, including Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, hierarchical clustering, and Protein-Protein Interaction (PPI) network analysis, were performed to elucidate potential biological mechanisms. RESULTS: The DMCAO model exhibited features consistent with DCIS. Electroacupuncture treatment was associated with improved cognitive performance and enhanced hippocampal neuroplasticity. A total of 116 DEGs were identified in the DMCAO group compared with the sham group, while 69 DEGs were identified in the DMCAO + electroacupuncture group compared with the untreated DMCAO group. DISCUSSION: GO enrichment analysis indicated that electroacupuncture modulated biological processes related to nerve fibers, axonal development, neuronal regulation, cellular processes, and cardiovascular protection. KEGG pathway analysis indicated involvement in pathways associated with neuronal recovery and axonal function. The PPI network comprised 28 nodes and 33 interactions, with hub genes such as Gna13, Hipk2, and Stambp playing key roles. Quantitative Reverse Transcription Polymerase Chain Reaction (qRT-PCR) results were consistent with RNA sequencing findings. CONCLUSION: Electroacupuncture improved DCIS in the DMCAO mouse model. Transcriptomic analysis of the hippocampus provided preliminary evidence of the potential mechanisms underlying the therapeutic effects of electroacupuncture treatment following ischemic stroke.

Animals↗
PubMed1989

Control-pattern analysis of metabolic pathways. Flux and concentration control in linear pathways.

Metabolic control analysis [Kacser and Burns (1973) Symp. Soc. Exp. Biol. 27, 65-104; Heinrich and Rapoport (1974) Eur. J. Biochem. 42, 89-95] leads to a description of the systemic properties of a metabolic system (expressed as control coefficients) in terms of the local kinetic properties of the individual enzyme-catalyzed reactions (expressed as elasticity coefficients). This paper describes a non-algebraic diagrammatic method which generates the mathematical expressions for flux or concentration-control coefficients in terms of elasticity coefficients. According to a set of simple rules, 'flux-control patterns' or 'concentration-control patterns' are drawn on a metabolic diagram. Each control pattern represents a product of elasticity coefficients that occurs as a term in the expression for a control coefficient. The rules also generate the correct sign that precedes each term. The control patterns are then used to build the expressions for control coefficients. The procedure was developed in such a way that each control pattern can be understood in terms of a 'chain of local effects' which shows how a perturbation in the activity of an enzyme is propagated through the metabolic pathway.

Biological Transport↗
PubMed2004

Computation of elementary modes: a unifying framework and the new binary approach.

BACKGROUND: Metabolic pathway analysis has been recognized as a central approach to the structural analysis of metabolic networks. The concept of elementary (flux) modes provides a rigorous formalism to describe and assess pathways and has proven to be valuable for many applications. However, computing elementary modes is a hard computational task. In recent years we assisted in a multiplication of algorithms dedicated to it. We require a summarizing point of view and a continued improvement of the current methods. RESULTS: We show that computing the set of elementary modes is equivalent to computing the set of extreme rays of a convex cone. This standard mathematical representation provides a unified framework that encompasses the most prominent algorithmic methods that compute elementary modes and allows a clear comparison between them. Taking lessons from this benchmark, we here introduce a new method, the binary approach, which computes the elementary modes as binary patterns of participating reactions from which the respective stoichiometric coefficients can be computed in a post-processing step. We implemented the binary approach in FluxAnalyzer 5.1, a software that is free for academics. The binary approach decreases the memory demand up to 96% without loss of speed giving the most efficient method available for computing elementary modes to date. CONCLUSIONS: The equivalence between elementary modes and extreme ray computations offers opportunities for employing tools from polyhedral computation for metabolic pathway analysis. The new binary approach introduced herein was derived from this general theoretical framework and facilitates the computation of elementary modes in considerably larger networks.

Algorithms↗
PubMed2026

Proteomic and Phosphoproteomic Signatures Link Molecular Remodeling to Behavioral Outcomes Following Elderberry and DHA Supplementation in Aging Mice.

Background: Aging is a risk factor for Alzheimer's disease and related dementias, which are associated with synaptic dysfunction and cognitive decline. Elderberry (Sambucus spp.) is rich in anthocyanins with antioxidant and anti-inflammatory properties. Docosahexaenoic acid (DHA), an essential fatty acid, plays a key role in neuronal membrane integrity during brain aging. However, it remains unclear whether elderberry and DHA exert overlapping or distinct effects on brain aging and how these relate to molecular signaling. This study aimed to characterize molecular signatures induced by dietary supplementation and to determine their relationships with behavioral outcomes. Methods: 44-week-old male C57BL/6J mice were randomly assigned to control, elderberry, DHA, or combined diets for 12 weeks. Behavioral testing assessed anxiety-like behavior, spatial learning and memory. Brain tissues underwent proteomic and phosphoproteomic profiling and fatty-acid analysis. Data were analyzed using Ingenuity Pathway Analysis to identify enriched pathways, upstream regulators, and functional associations. Results: Elderberry as well as DHA supplementation induced targeted remodeling of the proteome and phosphoproteome, with pathway enrichment involving synaptogenesis, glutamatergic signaling, and long-term potentiation. Upstream-regulator analysis predicted elderberry-associated CDK5 signaling, accompanied by reduced MAPT/Tau phosphorylation at selected sites, whereas DHA supplementation was associated with CAMK-related signaling. DHA supplementation altered fatty-acid composition, increasing the n-3/n-6 ratio. Elderberry reduced anxiety-like behavior and improved target-directed search during the Barnes maze probe test. Molecular signatures were examined in relation to the measured behavioral outcomes. Conclusions: Elderberry and DHA are associated with distinct molecular networks related to synaptic function and behavioral outcomes in the aging male mouse brain. These findings support further investigation of elderberry and DHA as dietary interventions targeting molecular and behavioral features of brain aging.

Animals↗
PubMed2006

Expression Analysis Systematic Explorer (EASE) analysis reveals differential gene expression in permanent and transient focal stroke rat models.

To gain greater insight on the molecular mechanisms that underlie ischemic stroke, we compared gene expression profiles in transient (tMCAO) and permanent middle cerebral artery occlusion (pMCAO) stroke models using Expression Analysis Systematic Explorer (EASE) pathway analysis software. Many transcripts were induced in both stroke models, including genes associated with transcriptional pathways, cell death, stress responses and metabolism. However, EASE analysis of the regulated genes indicated molecular functions and biological processes unique to each model. Pathways associated with tMCAO included inflammation, apoptosis and cell cycle, while pMCAO was associated with the induction of genes encoding neurotransmitter receptors, ion channels, growth factors and signaling molecules. An intriguing finding was the involvement of tyrosine kinases and phosphatases following pMCAO. These results provide evidence that neuronal death following tMCAO and pMCAO involves distinct mechanisms. These findings may give new insight to the molecular mechanisms involved in stroke and may lead to novel neuroprotective strategies.

Animals↗
PubMed2026

Dysregulated Sheddase Signalling as a Molecular Driver of Plaque Instability Revealed by Integrative Transcriptomics.

Atherosclerosis is a major cause of mortality due to chronic and progressive low-grade inflammation and fibroproliferative remodelling of the intima of arteries. Comprehensive understanding of the interplay between plaque biology and the mechanisms underlying plaque vulnerability and rupture is essential. Here, we aimed to investigate the transcriptomic profiles of stable and unstable atherosclerotic plaques using RNA sequencing data from human carotid atherosclerotic plaque samples based on next-generation knowledge discovery (NGKD) methods. High-throughput RNA-seq data from plaques dissected in stable and unstable regions of four patients were obtained from the Gene Expression Omnibus (GEO) database. GEO RNA-seq Experiments Interactive Navigator (GREIN) software was used to obtain raw gene-level counts and filtered metadata for this dataset. The data were further filtered and normalized using Express analyst to derive differentially expressed genes (DEGs) in unstable plaques compared to stable plaques. The DEGs were further analysed using WebGestalt, STRING DB, preranked gene set enrichment analysis (GSEA), and Ingenuity Pathway Analysis (IPA) software. We identified 4792 DEGs in unstable plaques based on a p-value cutoff of <&#x2009;0.05. NGKD analysis revealed that the sheddase pathway, collagen degradation, activation of matrix metalloproteinases (MMPs), and extracellular matrix (ECM) degradation ranked among the top five upregulated pathways, whereas the inhibition of MMPs and smooth muscle contraction pathways were identified as the most prominent downregulated pathways in unstable plaques. We found that the sheddase pathway was one of the most significantly upregulated canonical pathways in unstable plaques and this finding opens new avenues for potential therapeutic interventions in patients with atherosclerosis.

Humans↗
PubMed2003

pathSCOUT: exploration and analysis of biochemical pathways.

UNLABELLED: pathSCOUT provides access, display and exploration of data relevant to biochemical pathways, and enables analysis of pathway model structure and behavior. AVAILABILITY: pathSCOUT is available as a customized solution from contact@lionbioscience.com; limited evaluation access and additional information is available from http://simpath.lionbioscience.com:8080/documents/pathscout11/.

Biochemical Phenomena↗
PubMed2006

Copitarsia decolora (Lepidoptera: Noctuidae) larvae escaping from discarded asparagus: data in support of a pathway risk analysis.

This research was undertaken to gather data in support of an assessment of the likelihood that Copitarsia decolora (Guenée) (Lepidoptera: Noctuidae), a pest of asparagus, Asparagus officinalis L., and other crops, could escape from the pathway followed by asparagus from the field to the consumer. Asparagus that is destroyed by cooking and consumption, being run through a trash compactor or garbage disposal, or being buried in a landfill probably cannot support development of C. decolora larvae. Much asparagus is discarded in dumpsters, however, and the time between disposal and removal to the landfill provides an opportunity for C. decolora to escape into the environment. Results of this study indicate that C. decolora cannot survive to the pupal stage on rotten asparagus, and survival on dried asparagus is low. However, larvae can survive at least 1 wk on both types of deteriorating asparagus held at 23.5 degrees C. In field trials, a small percentage of C. decolora larvae crawled out of a dumpster filled with asparagus after 1 wk.

Animals↗
PubMed2003

A method for classifying metabolites in topological pathway analyses based on minimization of pathway number.

Metabolic pathway analysis based on the concept of elementary flux mode is a valuable tool for reconstruction of bacterial metabolisms and in predicting optimal conversion yields in biotechnology. However, pathway analysis of large and highly entangled metabolic networks meets the problem of combinatorial explosion of possible routes across the networks. Here we propose a method for coping with this problem by suitably classifying metabolites as external or internal. External metabolites are considered to have buffered concentrations while internal metabolites have to fulfil a balance condition at steady state. For many substances such as nutrients and excreted products, there are biochemical reasons to classify them as external. In addition, other substances (especially at central branching points) can operationally be considered external in order to avoid combinatorial explosion. We suggest to find such a classification of metabolites that minimizes the number of elementary flux modes (pathways). This is motivated by the objectives of finding such a description of the system that reduces as much as possible the amount of necessary data and of removing the ambiguity and arbitrariness in the classification of metabolites in an automated, systematic way. For networks of moderate size, the solution to this combinatorial minimization problem can be found by exhaustive search. To tackle also larger systems, a stochastic optimization program based on the Metropolis algorithm was developed. Both methods are applied, for illustration, to several reaction schemes including a larger network representing glutathione metabolism.

Combinatorial Chemistry Techniques↗
PubMed1987

Diacylglycerol metabolism in mast cells. Analysis of lipid metabolic pathways using molecular species analysis of intermediates.

These studies assess the metabolic source and fate of cellular 1,2-diacylglycerol (DAG), an intermediate that increases with physiologic stimulation, participates in the regulation of protein phosphorylation, and acts as a substrate for arachidonic acid release. The quantitation of the molecular species of DAG and one of its metabolic products, phosphatidic acid (PA), was assessed in the purified rat mast cell, a model system with marked quantitative constraints but with rapid and extensive secretion after receptor stimulation. Cellular DAG was extracted, partially purified, radioactively phosphorylated to form [32P]PA, and, after conversion to its dimethyl phosphoric acid ester, molecular species separations were undertaken using reversed phase HPLC and/or argentation TLC. Quantitation of 0.5 pmol of a single molecular species of cellular DAG was achieved, but HPLC was not alone sufficient to resolve all molecular species of interest. More importantly, comparison of mast cell DAG with [32P]PA generated in 32Pi-prelabeled cells revealed that the sub-classes that contained arachidonic acid species represent only 11% of the total DAG, while that of [32P]PA was 41% in resting cells. [32P]PA and, to a variable extent, DAG showed preferential increases in arachidonate-containing subclasses after stimulation (to 50.9 and 13.9%, respectively). These data suggest that a large portion of the increased mass of DAG seen during stimulation was probably not derived by phosphoinositide hydrolysis. This type of molecular species analysis of intermediates of important phospholipid metabolic pathways should help to establish the metabolic origin and fate of these and other compounds.

Animals↗
PubMed2006

SPME in environmental analysis: biotransformation pathways.

Solid-phase microextraction (SPME) is an organic solvent-free sample preparation tool suitable for direct adsorption of analytes from the headspace or the aqueous phase of a matrix followed by desorption into a gas chromatograph (GC) or high-performance liquid chromatograph (HPLC) for subsequent analysis. The SPME technique is designed to accommodate the use of fibers coated with different polymers suitable for the extraction of chemicals with varied hydrophobic and polar properties. Also, the technique can minimize interference from other artefacts associated with complex samples, such as those encountered in biological matrices or reaction mixtures. The preceding characteristics of SPME make the technique suitable for real-time measurements of intermediate reaction products and, thus, able to provide insight into the fate of target chemicals and their degradation pathways. In the present article, the current state of knowledge on the use of SPME-GC and SPME-HPLC in the determination of frequently encountered environmental chemicals and their (bio)transformation pathways are critically reviewed. Future opportunities of SPME in real time in situ process monitoring such as the use of agricultural feed stocks to bio-based industrial products termed henceforth "process analytical chemistry" are also discussed.

Biotransformation↗
PubMed1999

Genome-scale Gene Expression Analysis and Pathway Reconstruction in KEGG.

The massively parallel hybridization technologies by DNA chips and microarrays make it possible to monitor expression patterns of the whole set of genes in a genome under various conditions. The vast amount of data generated by such technologies necessitates the development of a new database management system that integrates expression data with other molecular biology databases and various analysis tools. We report here an extension of our KEGG (Kyoto Encyclopedia of Genes and Genomes) and DBGET/LinkDB systems for analyzing gene expression data in conjunction with pathway information and genomic information. It is now possible to make use of expression data for the reconstruction of pathways from the complete genome sequences.

Journal Article↗
PubMed2003

Genomic gene clustering analysis of pathways in eukaryotes.

Genomic clustering of genes in a pathway is commonly found in prokaryotes due to transcriptional operons, but these are not present in most eukaryotes. Yet, there might be clustering to a lesser extent of pathway members in eukaryotic genomes, that assist coregulation of a set of functionally cooperating genes. We analyzed five sequenced eukaryotic genomes for clustering of genes assigned to the same pathway in the KEGG database. Between 98% and 30% of the analyzed pathways in a genome were found to exhibit significantly higher clustering levels than expected by chance. In descending order by the level of clustering, the genomes studied were Saccharomyces cerevisiae, Homo sapiens, Caenorhabditis elegans, Arabidopsis thaliana, and Drosophila melanogaster. Surprisingly, there is not much agreement between genomes in terms of which pathways are most clustered. Only seven of 69 pathways found in all species were significantly clustered in all five of them. This species-specific pattern of pathway clustering may reflect adaptations or evolutionary events unique to a particular lineage. We note that although operons are common in C. elegans, only 58% of the pathways showed significant clustering, which is less than in human. Virtually all pathways in S. cerevisiae showed significant clustering.

Animals↗
PubMed2006

Hemodialysis modulates gene expression profile in skeletal muscle.

BACKGROUND: Uremia alters diverse metabolic pathways involving multiple organ systems, including skeletal muscle. Skeletal muscle has an important role in nutrition, metabolism, oxidative stress, and inflammation. We hypothesized that hemodialysis (HD) will change the genomic fingerprinting associated with uremia and facilitate expression of a distinct set of genes. METHODS: Five patients with end-stage renal disease (ESRD) were studied. Skeletal muscle biopsy specimens from the vastus lateralis were obtained before (pre-HD) and during the last 10 minutes of HD (post-HD). Oligonucleotide microarray (version 2, GeneChip arrays; Affymetrix U95A, Santa Clara, CA) was used to analyze global transcriptional modification in skeletal muscle by HD. Pre-HD data were compared with data from 3 subjects without renal failure. RESULTS: In skeletal muscle of patients with ESRD, 83 genes were upregulated and 8 genes were downregulated pre-HD compared with controls. Pathway analysis linked 55 genes to 5 gene networks involved in the regulation of cell cycle, cell proliferation, cellular organization, apoptosis, and inflammation. During HD, expression of 22 genes increased and 1 (TOB1) decreased. Pathway analysis mapped 20 genes to 2 genetic networks involved in: (1) inflammation, cell proliferation, and cell signaling; and (2) apoptosis, cell function, protein synthesis, and tissue morphology. Reverse-transcription polymerase chain reaction confirmed increased expression of GADD45A, BTG2, PDE4B, and CEBPD and downregulation of TOB1 in skeletal muscle intradialysis. CONCLUSION: In response to the uremic milieu, skeletal muscle goes through very active transcriptional and translational changes. HD activates a diverse, yet biologically linked, network of genes related to inflammation and apoptosis in skeletal muscle.

3',5'-Cyclic-AMP Phosphodiesterases↗
PubMed1999

[Transformation of wheat with insecticide gene of arrowhead proteinase inhibitor by pollen tube pathway and analysis of transgenic plants] [In Process Citation]

Arrowhead Proteinase Inhibitor(API), one kind of pure natural material, was derived from storage organ of Sagittaria trifolia. It belongs to serine proteinase inhibitor, and can inhibit trypsin, chemotrypsin and kallikrein. Furthermore, API is toxical to some species of insects such as lepidotera, Coleoptera and Diptrea etc. By means of pollen tube pathway, plasmid pBIAH-A(B) containing insect-resistant genes of API-A, API-B and selective marker gene of NPT-II were transferred into three lines of local winter wheat--JD-1, 8866, 866554. Then, Kanamycin-resistant screening and PCR analysis of genetic transformed plants showed that three of Kmr green plants (two from 866554, one from JD-1) were PCR positive with the positive rate of 0.29%. When the fragment of API gene was used as probe to hybrid with genomic DNA of Kmr green plants separately, all of three PCR positive ones displayed a single strong hybridizing band. Such results demonstrated that foreign target gene had been integrated into wheat genome already. Simultaneously, PCR analysis and Southern hybridization were carried out among selfiedoffsprings of transformed positive plant of the line 899554-3, some of them were PCR and Southern blotting positive, indicating that foreign gene integrated into wheat genome could stably transmitted into next generation. In addition, the expression level of NPT-II gene was checked via ELISA in our study, all of three PCR and Southern blot positive plants could yield high level of NPT-II. This data provided a more powerful evidence for integration of insecticide gene into wheat genome.

Journal Article↗
PubMed2026

Proteomic analysis identifies pathways related to immune dysregulation in patients with hematologic malignancies after COVID-19 infection.

Patients with hematologic malignancies (HMs) are particularly vulnerable to coronavirus disease 2019 (COVID-19) because of underlying immune dysfunction and treatment-related immunosuppression. However, proteomic features associated with different clinical trajectories in this population remain insufficiently characterized. We performed serum proteomic analysis in 40 HM patients with COVID-19 and 15 healthy controls. Compared with controls, HM patients showed impaired immune-related responses during the acute phase of COVID-19. Acute-phase proteomic patterns differed across outcome groups; however, because outcome groups were closely intertwined with initial COVID-19 severity, ICU admission, and systemic illness, and because multivariable adjustment was not performed due to the limited sample size, these patterns should be interpreted as severity- and outcome-associated profiles rather than independent trajectory-specific markers. Fatal cases showed evidence of dysregulated immune activation, whereas patients later classified as having long COVID exhibited broader suppression of immune-related pathways. In addition to immune alterations, pathways related to platelet activation and cardiac-related dysfunction were associated with adverse clinical trajectories. Enzyme-linked immunosorbent assay validation supported the association of selected proteins with outcome groups during acute infection. These findings provide a proteomic overview of COVID-19 in HM patients and offer a basis for future mechanistic studies and larger external validation cohorts.IMPORTANCEPatients with hematologic malignancies are highly vulnerable to severe coronavirus disease 2019 (COVID-19), acute death, and long COVID due to preexisting immune dysfunction. However, the proteomic signatures linked to adverse clinical trajectories remain poorly understood. Our serum proteomic study identifies distinct acute-phase immune profiles associated with different outcomes: broad immune suppression characterizes long COVID, while dysregulated immune activation is associated with fatal cases. Platelet activation and cardiac-related pathways are also linked to poor outcomes. These findings provide key molecular insights for this high-risk population, supporting future biomarker development, risk stratification, and targeted clinical management.CLINICAL TRIALSThis study is registered with ClinicalTrials.gov as NCT05683353.

Humans↗
PubMed1999

Analysis of Corynebacterium glutamicum methionine biosynthetic pathway: isolation and analysis of metB encoding cystathionine gamma-synthase.

The metB gene encoding cystathionine y-synthase, the second enzyme of methionine biosynthetic pathway, was isolated from a pSL109-based Corynebacterium glutamicum gene library via complementation of an Escherichia coli metB mutant. A DNA-sequence analysis of the cloned DNA identified an open-reading frame of 1161 bp which encodes a protein with the molecular weight of 41,655 comprising of 386 amino acids. The putative protein product showed good amino acid-sequence homology to its counterpart in other organisms. Introduction of a plasmid carrying the cloned metB into the C. glutamicum resulted in a 10-fold increase in cystathionine gamma-synthase activities, demonstrating the identity of the cloned gene. The C. glutamicum metB mutant which was generated by the site-specific integration of the cloned DNA into its chromosome did not lose the ability to grow on glucose minimal medium lacking supplemental methionine. The growth rate of the mutant strain was also comparable to that of the parental strain. These data indicate that, in addition to the transsulfuration pathway, other methionine biosynthetic pathways may be present in C. glutamicum.

Amino Acid Sequence↗
PubMed2006

IL-6 signaling via the STAT3/SOCS3 pathway: functional analysis of the conserved STAT3 N-domain.

The conserved N-domain of the STAT proteins has been implicated in several activities crucial to cytokine signaling including receptor recruitment and STAT activation, cooperative DNA binding and STAT-dependent gene expression. We evaluated the role of the STAT3 N-domain in the IL-6 signal transduction pathway leading to Socs3 gene expression, an essential mechanism that controls the quality and magnitude of IL-6-dependent transcriptional responses. Based on the model for STAT N-domain function in cooperative gene expression and the presence of tandem STAT binding motifs in the murine Socs3 promoter, we anticipated that stabilizing interactions between adjacent STAT3 dimers via N-domain sequences might be essential for Socs3 gene expression. This was underscored by the tight conservation in the location and sequence of the tandem STAT binding sites between the murine and human Socs3 promoters. Using reconstitution into Stat3-/- mouse embryonic fibroblasts (Stat3-/- MEFs), we find that a STAT3 N-domain deletion mutant (Delta 133STAT3) is activated by tyrosine phosphorylation in response to IL-6 and then undergoes dephosphorylation with kinetics similar to full-length STAT3. These results highlight important differences compared to other STATs where the N-domain has been shown to mediate activation (STAT4) or dephosphorylation (STAT1). STAT3 binds predominantly to a single STAT consensus site in the Socs3 promoter, despite the presence of an adjacent STAT motif. Significantly, Delta 133STAT3 stimulates expression of the endogenous Socs3 gene in Stat3-/- MEFs upon IL-6 treatment with an activity similar to reconstituted STAT3, demonstrating that the N-domain is dispensable for Socs3 gene expression. We propose that the Socs3 gene in its chromosomal context is activated by the IL-6/STAT3 pathway independent of STAT3 N-domain sequences.

Animals↗