Search Results (165)

Fatty acid-binding protein 7 (FABP7) is a multifunctional lipid chaperone that is enriched in radial glia and astrocytes within the central nervous system (CNS) and is frequently upregulated in glioma. Beyond its established roles in glial development, lipid homeostasis, and circadian regulation, growing evidence positions FABP7 at the intersection of tumor metabolism, neuronal activity, and immune modulation in the brain. In this review, we integrate the physiological functions of FABP7 in glial cells with its tumor-intrinsic and microenvironmental roles in glioma. We summarize how gliomas co-opt FABP7-dependent metabolic, transcriptional, and post-transcriptional programs to promote stemness, lipid remodeling (e.g., altered fatty acid composition, lipid droplet formation, and lipid peroxidation resistance), inflammatory signaling, and invasive growth, including nuclear FABP7-mediated transcriptional activation linked to oncogene status. Furthermore, we discuss the role of FABP7 in shaping the tumor–neuro–immune interface, including regulating immunosuppressive gene networks, pro-tumoral macrophage polarization, resistance to T-cell-induced ferroptosis and immunotherapy, and tumor microtube-mediated integration into neuronal circuits to support glioma progression. Finally, we highlight therapeutic opportunities and challenges, including small-molecule FABP7 inhibitors, brain-directed delivery strategies, chronotherapeutic considerations, and combination approaches with immunotherapy. Collectively, this work positions FABP7-centered metabolic, circadian, and neuro-immune networks as potential vulnerabilities in glioma, linking fundamental glial biology to glioma therapeutics. Full article

This work investigates, for the first time, nonlinear wave dynamics and chaos in nanocomposite micropipes conveying a viscous fluid, reinforced with graphene origami (GOr), and subjected to thermal loading. It extends the previous study by considering the influence of a transverse load and fluid viscosity, both of which were ignored previously. The Painlevé integrability of the governing equation is tested using the Ablowitz–Ramani–Segur (ARS) algorithm. Our findings prove the non-integrability of the governing equation, motivating a qualitative dynamical approach. Bifurcation theory is applied to multiple possible forms of the transverse load. In the absence of a transverse load, neither periodic nor solitary axial wave displacements exist. This is guaranteed by applying Bendixson’s criterion and confirmed through phase portraits. However, with a specific form of the transverse load, bifurcation analysis analytically provides the existence conditions for periodic, super-periodic, and solitary axial displacement waves. Furthermore, it is shown that kink and anti-kink solutions are absent. Explicit exact solutions are constructed in terms of elliptic functions, and their consistency and validity are verified through orbital degeneracy. The key material parameters’ impacts—GOr weight fraction, temperature change, hydrogen coverage, and shear layer stiffness—on the wave profiles are inspected numerically and eludicated physically. When an additional periodic transverse load is inserted, the system manifests quasi-periodic behavior at frequencies with small loads, transitioning to chaotic motion as the frequency grows. Both Lyapunov exponents and a Poincaré section are utilized to confirm this chaotic behavior. Our findings show the impact of fluid viscosity and the transverse load structure are significant in GOr-reinforced microtubes and highlight their relevance for advanced fluid-conveying systems. Full article

Regular geometric targets under microscopic scenes, such as microspheres, micropores, and microtubes, are characterized by small scales, low contrast, and degraded boundaries. Masks generated by general segmentation methods often fail to directly support high-precision geometric parameter measurement. This paper proposes a mask optimization method for the high-precision extraction of regular geometric features in microscopic scenes. We establish a mask optimization framework that integrates initial mask generation with geometric consistency refinement. Mask initialization is first performed through segmentation and adaptive super-resolution (SR) under low annotation constraints. Subsequently, an iterative optimization strategy that fuses multi-dimensional pixel features with regular geometric priors is designed. By incorporating geometric features extracted from the current mask while maintaining stable pixel-level observations, the mask is progressively corrected until convergence to generate target masks with continuous boundaries that satisfy stringent geometric constraints. Our experimental results on a sphere–tube assembly dataset demonstrate that the proposed method achieves lower geometric errors on successfully fitted samples and significantly improves the fitting success rate. Ablation studies further confirm the critical roles of dynamic SR and iterative mask optimization in enhancing overall precision and stability. These findings suggest that for microscopic regular geometric measurement tasks, integrating geometric-consistency constraints into mask optimization effectively improves both the accuracy and robustness of geometric feature extraction. Full article

Paclobutrazol (PBZ) is a triazole-type plant growth regulator that interferes with gibberellin (GAs) biosynthesis by blocking the oxidation step that converts ent-kaurene into ent-kaurenoic acid; however, the developmental mechanisms linking GAs restriction with storage organ enlargement remain poorly understood. In potato, PBZ induces compact growth while promoting microtubers (MTs) expansion, suggesting that GAs depletion triggers coordinated developmental reprogramming rather than simply suppressing elongation. Here, we evaluated the phenotypic, histological, and transcriptomic responses associated with PBZ-induced MTs development in Solanum tuberosum L. PBZ treatment, which increased MTs size, suppressed stolon growth, and enhanced starch accumulation, indicating a shift toward storage tissue development. Transcriptomic analysis identified broad PBZ-responsive changes, including enrichment of pathways related to metabolism, ribosome function, carbon metabolism, plant hormone signaling, and cell cycle regulation. Network analyses revealed ATH1-associated modules connected with receptor-like kinases, transcriptional regulators, mitotic regulators, replication-licensing factors and condensin components, supporting coordinated regulation among growth control, localized proliferation, asymmetric division, endoreduplication, and chromatin stability. These patterns were further supported by the absence of a detectable gibberellic acid (GA₃) peak in PBZ-treated samples. These findings support a model in which PBZ-responsive signaling is associated with developmental reprogramming toward radial expansion and reinforcement of storage tissue, providing a regulatory mechanism by which growth repression is coupled to microtube enlargement in potato. Full article

This article presents an intelligent differential capacitive bioelectronic sensing system that provides an experimental foundation for future AI-assisted reliable microfluidic reagent delivery in automated pathology. The proposed platform integrates a slot-type microfluidic chamber, a differential slot-line capacitive sensor, embedded readout and signal-conditioning electronics, and a supervisory state assessment concept within a unified architecture. Its purpose is to support stable microliter-scale reagent exchange together with non-invasive process observability in automated staining workflows. The experimental study included flow calibration, analysis of feed direction and chamber tilt angle, preliminary vibration-assisted bubble mobilization, and evaluation of the sensing subsystem. The results showed that reliable operation is achieved only within a practically admissible regime in which fluidic stability and sensing informativeness overlap. In the investigated setup, upper-feed delivery and low chamber tilt angles provided the most favorable filling conditions, while the differential capacitive subsystem enabled stable detection of liquid-state changes in narrow microtubes. The reported results establish a foundation for future AI-assisted transport-state recognition and adaptive monitoring in automated pathology platforms. Full article

Epoxy resins are widely used in coatings and adhesives due to their strong adhesion and processability. In this study, epoxy-based coatings were prepared with two synthesized pigments: cobalt blue and chrome orange. The coatings were applied to aluminum, phosphor bronze, and brass substrates to evaluate mechanical and adhesive performance. Microhardness was analyzed using the Chen–Gao model to exclude substrate effects, while adhesion was assessed via parameter b. Pigment morphology strongly influenced the properties: Pb-orange exhibited hollow micro-tube structures, while Co-blue showed an irregular morphology. Results revealed that epoxy coatings on brass with Pb-orange pigment reached a hardness of 242.6 MPa, compared to 187.2 MPa for Co-blue, representing a 22.8% increase. Adhesion was superior in epoxy/Pb-orange, with values 1.3 times higher than epoxy/Co-blue and 1.8 times higher than neat epoxy on brass. However, pigments have no influence on the intrinsic hardness of the epoxy coating. The orange pigment in the epoxy impairs wetting resistance, while the blue pigmented epoxy coating becomes hydrophobic. In this way, in addition to colorizing epoxy coatings, multifunctional coatings with adjustable adhesion, free surface energy, and hardness are also obtained. These findings highlight the potential of pigment-modified coatings for tailored industrial applications, offering improved properties depending on pigment selection. Full article

Breast cancer brain metastasis (BCBM) affects up to 30% of patients with metastatic disease and carries a median survival of only 4–18 months. Emerging evidence reveals that BCBM cells are not passive survivors, but active participants that hijack core neurotransmitter networks, GABA (gamma-aminobutyric acid) and glutamate, to fuel their growth. BCBM, particularly triple-negative breast cancer (TNBC), frequently switch to a GABAergic mode utilizing brain-derived GABA as an oncometabolite. In parallel, BCBM cells can also form direct synapses with neurons, tapping into excitatory input through glutamatergic receptors to drive tumor cell proliferation and survival. Concurrently, reprogrammed astrocytes establish gap junctions, secrete growth factors, and provide metabolic support. Together, tumor cells, neurons, and astrocytes form a pathological partnership locked in feedback loops sustaining metastatic progression. This review focuses on the unique mechanisms employed by distinct breast cancer subtypes and maps the metastatic progression from pre-metastatic to mature brain metastatic niche formation of BCBM. We highlight opportunities to repurpose neurological drugs to disrupt these communication axes. Full article

Patients receiving dialysis treatments suffer from a high rate of systemic comorbid conditions, including cardiovascular disease, mineral and bone disorders, chronic inflammation, amyloidosis, and recurring infections, leading to increased morbidity and mortality rates despite the progress made in the field of renal replacement therapies. The aforementioned conditions result from the continued dysregulation and overproduction of molecular biomarkers, which cannot be adequately monitored by traditional, intermittent laboratory tests. This review critically assesses the newly developed biosensor technologies for the detection of major dialysis biomarkers, including potassium, phosphorus, parathyroid hormone (PTH), β₂-microglobulin, creatinine, and cystatin C, with special emphasis on biosensors based on electrochemistry, optics, impedimetry, nanophotonics, and biological engineering techniques. These recent biosensors have been evaluated based on their analytical performance, the biofluids used in the studies, and their suitability for measuring relevant concentrations of these biomarkers. Special attention is given to biosensors capable of continuous operation or minimally invasive sampling, as well as to newly developed biofluid sampling techniques, including microneedle-, microtube-, and micropillar-based systems, for the long-term monitoring of the biomarkers in the serum of patients receiving dialysis treatments. The biosensing techniques for measuring infection biomarkers have also been discussed, given the high risk of bloodstream and access infections among patients receiving dialysis. The limitations of these biosensors include biofouling, calibration drift, and their integration into the dialysis treatment workflow. Finally, the future prospects of the recent biosensors offer the possibility of the proactive management of the high rate of comorbid conditions in this high-risk population of patients receiving dialysis treatments. Full article

Potato cultivars are inherently sensitive to high temperatures, and dissecting the mechanisms underlying heat response and tolerance has long been a central focus in potato research. However, the molecular mechanisms governing the short-term heat stress response in potato, as well as the regulatory role of DNA methylation in heat adaptation, remain largely unclear. In this study, we identified breeding line D187 as heat-tolerant and cultivar Q9 as heat-sensitive through microtuber induction under heat stress. We further confirmed that heat-sensitive cultivar Q9 exhibited distinct physiological responses in leaves following 6 h of heat treatment. Comparative transcriptome analysis of leaves exposed to 6 h of heat stress revealed distinct molecular response patterns between D187 and Q9. D187 specifically upregulated genes enriched in heat and other stress response pathways to enhance heat adaptation, whereas Q9 relied on pathways related to RNA modification and splicing, presumably adapting to high temperatures via post-transcriptional regulation. Notably, genes involved in the RdDM pathway were differentially upregulated in both genotypes, and heat stress correspondingly enhanced CHH methylation levels in the vicinity of functional genes in the heat-sensitive cultivar Q9. Treatment with 5-Azacytidine, a DNA methylation inhibitor, exacerbated the inhibition of in vitro tuber formation under high temperatures, indicating that maintaining and enhancing DNA methylation is essential for heat adaptation in potato. Furthermore, overexpression of StAGO4a/b in Nicotiana benthamiana modestly improved heat tolerance, suggesting that StAGO4s act as positive regulators of heat tolerance in potato. Collectively, our results suggest that heat-induced CHH methylation near functional genes via the RdDM pathway contributes positively to heat stress response and tolerance in Q9, providing new insights for identifying heat tolerance regulators from a DNA methylation perspective. Full article

Ensuring efficient nutrient delivery and waste removal within the interior of three-dimensional (3D) cultures remains a major challenge in tissue engineering. Here, we demonstrate a proof-of-concept methodology that creates internally distributed driving sources to enhance diffusion and perfusion within 3D constructs. Iron microparticles or iron-containing microtubes were incorporated into collagen gels used for the 3D culture of dermal or cardiac fibroblasts, and cyclic dynamic magnetic fields were applied to the constructs. Oscillatory motion of the iron particles enhanced diffusion within the gels, as evidenced by increases in the fast diffusion coefficient of more than threefold and the slow diffusion coefficient of more than tenfold under conditions suitable for cell culture. In cardiac fibroblast cultures, this enhancement significantly increased proliferation by approximately twofold and reduced cytotoxicity by half compared with controls. In contrast, no significant effects were observed in dermal fibroblast cultures. Cyclic compression of microtubes within the collagen gels induced by dynamic magnetic fields primarily resulted in cellular morphological changes, including a reduction in cell area to approximately 0.8-fold of the control values, increased cell polarization with the cellular aspect ratio rising from 1.4 to 1.9, and preferred cell orientations either parallel or perpendicular to the microtube axis. Together, these results suggest that this methodology has the potential to be developed as an effective strategy for improving diffusivity in 3D metabolic environments and for promoting angiogenesis in hydrogel-based cultures. Full article

Hydrogen-fueled gas turbines face challenges related to flashback risk, nitrogen oxide (NO_x) emissions, and operational flexibility. In this study, a Center-Graded Spiral Micromixing (CGSM) combustor was designed and experimentally investigated to enhance the robustness of fuel–air mixing under hydrogen-rich conditions. The proposed CGSM concept employs spiral microtubes to induce curvature-driven secondary flows, promoting mixing through airflow-controlled mechanisms rather than relying solely on fuel jet momentum. Numerical simulations were conducted to qualitatively analyze the internal flow and mixing characteristics of the spiral microtubes, followed by pressurized combustor experiments at an inlet pressure of 0.3 MPa and elevated air temperatures. The experimental results demonstrate stable combustion of pure hydrogen under lean conditions, with NO_x emissions being maintained below 25 ppm, corrected to 15% O₂, without observable flashback or combustion oscillations within the designated operating range (from ignition to full load). The combustor further exhibits stable operation with blended hydrogen–methane and hydrogen–ammonia fuels, enabling online fuel switching without hardware modification. Application tests on an 80 kW micro-gas turbine indicate that the CGSM combustor can support stable operation across the full range of load conditions, from ignition to full-load operation, under both simple- and reheat-cycle modes, with performance characteristics that are consistent with established operational standards for micro-gas turbines. These results suggest that the CGSM concept provides a feasible micromixing strategy for hydrogen and hydrogen-rich fuels at a moderate pressure and micro-gas turbine scale. Full article

The starch content of lotus (Nelumbo nucifera) rhizomes is a key determinant of their taste and overall quality. In our previous work, a candidate transcription factor, NnAP2, was identified and its coding-region single-nucleotide polymorphisms (SNPs) were significantly associated with rhizome enlargement and carbohydrate-related traits. Owing to limitations in stable genetic transformation systems in lotus, potato (Solanum tuberosum) was employed as a heterologous model to investigate the regulatory role of NnAP2 in starch and soluble sugar metabolism. Overexpression of two allelic variants of the NnAP2 transcription factor (CC and TT) in potato resulted in pronounced differences between CC- and TT-overexpressing lines (NnAP2^CC-OE and NnAP2^TT-OE) in microtuber carbohydrate composition and proteome dynamics, accompanied by divergence in transgene copy number and substantial variation in transgene expression levels among independent lines. Six months after planting transgenic lines NnAP2^CC-OE and NnAP2^TT-OE, the NnAP2^CC-OE micro-tubers exhibited significantly higher starch content and lower soluble sugar levels compared with NnAP2^TT-OE. To uncover the underlying molecular basis, profiling of proteoforms was conducted on leaves, stems and tubers of both genotypes through a label-free proteomic strategy. A total of 51,299 peptides matched to 7292 proteins. Principal component analysis demonstrated clear separation of treatment groups, indicating robust differential accumulation of proteoforms. In total, 1715 differentially expressed proteins (DEPs) were identified across tissues (fold change ≥ 1.5 or ≤0.67, p  <  0.05), of which 1516 (88.4%) were tissue-specific. GO and KEGG enrichment analyses revealed that in leaves, DEPs were enriched for amino sugar metabolism, protein transporter activity and cell-wall macromolecule modification; in stems, enrichment included response to biotic stimulus, defense response and transporter activity; in tubers, DEPs were strongly enriched for carbohydrate metabolic processes, starch and sucrose metabolism, the TCA cycle and nucleotide sugar biosynthesis. Key starch-biosynthetic enzymes (e.g., ADP-glucose pyrophosphorylase, UDP-glucose-4-epimerase) were up-regulated in NnAP2^CC-OE tubers relative to NnAP2^TT-OE, while soluble sugar synthesis pathways (e.g., trehalose-6-phosphate synthase) were down-regulated. Together, these data suggest that elevated NnAP2^CC expression in transgenic potato is associated with allele-dependent shifts in central carbon allocation between starch and soluble sugar pathways, as revealed by comparative analyses between NnAP2^CC-OE and NnAP2^TT-OE. This study provides a comprehensive proteoform framework for allelic variation in an AP2 transcription factor involved in source–sink carbon partitioning and tuber starch accumulation in potato. Full article

This study investigates the flow and heat transfer mechanisms of high-temperature air flowing across staggered lined fine tubes in a SABRE-type precooler. Large-Eddy Simulation (LES) was employed to model three-dimensional unsteady flow under constant-property and variable-property air models at inlet temperatures of 400–800 K. The results show that increasing temperature substantially enhances vorticity, turbulent kinetic energy, heat flux, and Nusselt number, while flow separation and pressure drop are intensified. However, when temperature-dependent air properties are incorporated, the wake width increases and the separated shear layers become thicker, while the turbulence/unsteadiness intensity decreases. Consequently, the near-wall shear is reduced and the heat transfer coefficients are lower. Compared with variable-property predictions, constant-property models overestimate the average Nusselt number by 20–40% and the local pressure drop by 40–65%, and they underestimate the air-side temperature drop along the tube rows. These findings demonstrate that real-gas effects significantly alter both aerodynamic resistance and thermal performance. Overall, accurate representation of temperature-dependent air properties is essential for the reliable design, evaluation, and optimization of micro-tube precoolers. Full article

Driven by societal and technological progress, the polymer tubing industry is increasingly focused on sustainable and biodegradable products, with polylactic acid (PLA)-based microtubes gaining attention for applications such as medical stents and disposable straws. However, their inherent mechanical limitations, especially under hoop loading and the brittleness of PLA, restrict broader use. Although two-dimensional nanofillers can enhance polymer properties, conventional extrusion only creates uniaxial alignment, leaving fillers randomly oriented in the radial plane and failing to improve hoop performance. To address this, we developed a rotational extrusion strategy that superimposes a rotational force onto the conventional axial flow, generating a biaxial stress field. By adjusting rotational speed to regulate hoop stress, a concentric, interlocked graphene oxide network in a PLA/polybutylene adipate terephthalate microtube is induced along the circumferential direction without disturbing its axial alignment. This architecturally tailored structure significantly enhances hoop mechanical properties, including high compressive strength of 0.54 MPa, excellent low-temperature impact toughness of 0.33 J, and improved bending resistance of 30 N, while maintaining axial mechanical strength exceeding 50 MPa. This work demonstrates a scalable and efficient processing route to fabricate high-performance composite microtubes with tunable and balanced directional properties, offering a viable strategy for industrial applications in medical, packaging, and structural fields. Full article

Plastic pollution raises concerns for health and the environment. Plastics are not biodegradable but gradually erode to microplastic and nanoplastic particles spreading almost everywhere. Nanoplastics exhibit colloidal behavior. Thereby, their analysis can be accomplished by refractometry, preferably by an on-chip tool. We present a study of such colloids using a microfabricated Fabry–Pérot cavity with curved mirrors, which holds a capillary micro-tube used both for fluid handling and light collimation, resulting in an optically stable microresonator. Despite the numerous scatterers within the sample, the sub-millimeter scale cavity provides the advantages of reduced interaction length while maintaining light confinement. This significantly reduces optical loss and hence keeps resonance modes with quality factors (resonant frequency/bandwidth) above 1100. Therefore, small quantities of colloids can be measured by the interference spectral response through the shift in resonant wavelengths. The particles’ Brownian motion potentially causing perturbations in the spectra can be overcome either by post-measurement cross-correlation analysis or by avoiding it entirely by taking the measurements at once by a wideband source and a spectrum analyzer. The effective refractive index of solutions with solid contents down to 0.34% could be determined with good agreement with theoretical predictions. Even lower detection capabilities might be attained by slightly altering the technique to cause particle aggregation achieved solely by light. Full article