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Flocculants are indispensable in water and wastewater treatment, enabling the aggregation and removal of suspended particles, colloids, and emulsions. However, the conventional development and application of flocculants rely heavily on empirical methods, which are time-consuming, resource-intensive, and environmentally problematic due to issues such as sludge production and chemical residues. Recent advances in machine learning (ML) have opened transformative avenues for the design, optimization, and intelligent application of flocculants. This review systematically examines the integration of ML into flocculant research, covering algorithmic approaches, data-driven structure–property modeling, high-throughput formulation screening, and smart process control. ML models—including random forests, neural networks, and Gaussian processes—have successfully predicted flocculation performance, guided synthesis optimization, and enabled real-time dosing control. Applications extend to both synthetic and bioflocculants, with ML facilitating strain engineering, fermentation yield prediction, and polymer degradability assessments. Furthermore, the convergence of ML with IoT, digital twins, and life cycle assessment tools has accelerated the transition toward sustainable, adaptive, and low-impact treatment technologies. Despite its potential, challenges remain in data standardization, model interpretability, and real-world implementation. This review concludes by outlining strategic pathways for future research, including the development of open datasets, hybrid physics–ML frameworks, and interdisciplinary collaborations. By leveraging ML, the next generation of flocculant systems can be more effective, environmentally benign, and intelligently controlled, contributing to global water sustainability goals.

Tumor thrombus (TT) worsens prognosis and complicates surgery in renal cell carcinoma (RCC), yet its formation mechanisms remain unclear. Here, we perform integrative single-cell and spatial transcriptomic analyses on 71 tissues and 48 sections from RCC patients with or without TT. The cellular and spatial atlas reveals distinct TT-associated tumor microenvironment remodeling characterized by the enrichment of FAP + fibroblasts. These FAP + fibroblasts are spatially contiguous to aggressive cancer cells and promote their malignant phenotypes in vitro. Their abundance inversely correlates with functional NK cells, suggesting roles in tumor invasion and immune evasion. Furthermore, single-cell multiomics analysis identifies tumor pericytes as a source of FAP + fibroblasts and delineates transcription factor dynamics underlying pericyte-fibroblast transition. Finally, high levels of FAP + fibroblasts are associated with poor prognosis and predict a weaker response to anti-VEGF-based therapy. In conclusion, our study highlights FAP + fibroblasts as drivers of aggressive RCC with TT, suggesting potential therapeutic targets. Tumour thrombus (TT) complicates renal cell carcinoma (RCC) treatment. Here, authors conduct an integrative single-cell RNA sequencing and spatial transcriptomic analyses on RCC patients with and without TT and identify FAP + fibroblasts as drivers for TT formation.

BackgroundMitochondrial antiviral signaling protein (MAVS), a central adaptor in cytosolic RNA sensing, is critical for antitumor innate immunity and maintains mitochondrial homeostasis via its mitochondrial localization. Mitochondrial dysfunction acts as a key driver and amplifier of the senescence-associated secretory phenotype (SASP), a double-edged sword in tumor progression. However, whether tumor-intrinsic MAVS can regulate antitumor immunity via cellular senescence independently of its well-established interferon signaling remains unclear.MethodsOur study employed an integrated strategy. Clinically, we profiled MAVS expression and its association with prognosis and immune infiltration in renal tumor specimens. Mechanistic insights into tumor-intrinsic MAVS were gained through a battery of techniques spanning quantitative PCR, immunoblotting, RNA sequencing, senescence and mitochondrial function assays, confocal imaging, immunohistochemical, mass spectrometry, and co-immunoprecipitation. In vivo, we used MAVS-deficient models combined with CD8+ T-cell depletion, programmed cell death protein-1 (PD-1) blockade, or reactive oxygen species (ROS) scavenging by N-acetylcysteine (NAC), with immune infiltration characterized by flow cytometry.ResultsClinical evidence links elevated MAVS expression in renal tumors to poor prognosis and diminished CD8+ T-cell infiltration. Strikingly, tumor-intrinsic MAVS deficiency curbed malignant progression by triggering cellular senescence and fostering a permissive niche for CD8+ T-cell activation and recruitment. Mechanistically, MAVS orchestrates mitochondrial integrity by co-localizing with and stabilizing chemokine-like factor-like MARVEL transmembrane domain-containing 6 (CMTM6), thereby shielding it from lysosomal degradation. Disruption of this axis provoked mitochondrial dysfunction and ROS accumulation, culminating in senescence and an SASP marked by chemokine C-C motif ligand 3 (CCL3). Thus, despite dampening canonical innate immune signaling, MAVS deletion unleashed potent antitumor immunity via CCL3-mediated CD8+ T-cell recruitment, an effect abolished by CD8+ T-cell depletion or ROS scavenging with NAC. Leveraging this paradigm, we demonstrated that tumor-specific MAVS deficiency acts synergistically with PD-1 blockade to achieve robust therapeutic efficacy.ConclusionsOur findings establish the tumor-intrinsic MAVS/CMTM6/CCL3 axis as a previously unrecognized critical regulator of senescence-driven antitumor immunity in renal carcinoma. Therapeutic targeting of this axis presents a promising strategy to curtail tumor progression and potentiate immunotherapy.

The potential benefit of neoadjuvant toripalimab plus axitinib in cases with clear cell renal cell carcinoma (ccRCC) and inferior vena cava tumor thrombus (IVC-TT) remains unclear. NEOTAX was a phase 2 study to investigate the efficacy and safety of neoadjuvant toripalimab plus axitinib in patients with ccRCC and IVC-TT (ChiCTR2000030405). The primary endpoint was the down-staging rate of IVC-TT level. Secondary endpoints included change in TT length, response rate, percentage change in surgical approach, surgical morbidity, progression-free survival (PFS), safety, and biomarker analyses. In all, 25 patients received study treatment, 44.0% (11/25) patients had a reduction in thrombus level, and none experienced an increase in Mayo level. The median change in tumor thrombus length was −2.3 cm (range: −7.1 to 1.1 cm). Overall, 61.9% (13/21) patients experienced changes in surgical strategy compared with planned surgery, three patients experienced major complications. The median PFS was 25.3 months (95% CI: 17.0-NE). The 1-year PFS was 89.1% (95% CI: 62.7–97.2). No any of grade 4 or 5 treatment-related adverse event was identified. Biopsy samples of non-responders exhibited increased T cytotoxic cell infiltration, but these cells were predominantly PD-1 positive. Biopsy samples of responders exhibited lower T helper cells, however, their subtype, regulatory T cells remained unchanged. In surgical samples of the TT, non-responders exhibited increased CD8T_01_GZMK_CXCR4 subset T cells. NEOTAX met preset endpoints proving that toripalimab in combination with axitinib downstages IVC-TT in a significant proportion of patients leading to simplification in the procedure of surgery.

Renal tumors with inferior vena cava tumor thrombus (IVCTT) remain a challenge in urology. However, in vivo models remain unavailable, which hampers the elucidation of its pathogenesis, identification of therapeutic targets, and screening for effective drugs. In this study, we initially develop two IVCTT models in BALB/c and BALB/c-nu/nu mice using the mouse Renca cell line. The pathological features and immune microenvironment of IVCTT in immunocompetent mice closely resembles those observed in humans. Single-cell transcriptome sequencing, immunohistochemistry and multiplex immunohistochemistry reveal a predominance of monocytes, macrophages, and neutrophils within IVCTT, mirroring the cellular composition of the human IVCTT; however, fewer lymphocytes are observed. The IVCTT in immunodeficient mice progresses much faster than in immunocompetent mice. More importantly, we successfully use the human tumor cell line on the BALB/c nu/nu mice to create an IVCTT model. The proposed in vivo models mimic the progression of renal tumors with IVCTT, clarify that the immune system can inhibit tumor thrombus progression, and provide tools for subsequent mechanistic research and translational preclinical studies. In vivo, modeling of IVCTT reveals immune microenvironment dynamics and highlights the role of immune cells in regulating tumor thrombus progression in renal cancer.

Hydrogel-based devices are widely used as flexible electronics, biosensors, soft robots, and intelligent human-machine interfaces. In these applications, high stretchability, low hysteresis, and anti-fatigue fracture are essential but can be rarely met in the same hydrogels simultaneously. Here, we demonstrate a hydrogel design using tandem-repeat proteins as the cross-linkers and random coiled polymers as the percolating network. Such a design allows the polyprotein cross-linkers only to experience considerable forces at the fracture zone and unfold to prevent crack propagation. Thus, we are able to decouple the hysteresis-toughness correlation and create hydrogels of high stretchability (~1100%), low hysteresis (< 5%), and high fracture toughness (~900 J m −2 ). Moreover, the hydrogels show a high fatigue threshold of ~126 J m −2 and can undergo 5000 load-unload cycles up to 500% strain without noticeable mechanical changes. Our study provides a general route to decouple network elasticity and local mechanical response in synthetic hydrogels. High stretchability, low hysteresis and anti-fatigue fracture are essential for hydrogel-based devices but it is rare to achieve. Here the authors demonstrate a hydrogel design using tandem-repeat proteins as the cross-linkers and random coiled polymers as the percolating network which results in high stretchability, low hysteresis and high fracture toughness.

Structure–activity relationships built on descriptors of bulk and bulk-terminated surfaces are the basis for the rational design of electrocatalysts. However, electrochemically driven surface transformations complicate the identification of such descriptors. Here we demonstrate how the as-prepared surface composition of (001)-terminated LaNiO 3 epitaxial thin films dictates the surface transformation and the electrocatalytic activity for the oxygen evolution reaction. Specifically, the Ni termination (in the as-prepared state) is considerably more active than the La termination, with overpotential differences of up to 150 mV. A combined electrochemical, spectroscopic and density-functional theory investigation suggests that this activity trend originates from a thermodynamically stable, disordered NiO 2 surface layer that forms during the operation of Ni-terminated surfaces, which is kinetically inaccessible when starting with a La termination. Our work thus demonstrates the tunability of surface transformation pathways by modifying a single atomic layer at the surface and that active surface phases only develop for select as-synthesized surface terminations. Structure–activity relationships built on descriptors of surfaces can help to design electrocatalysts, but their identification for electrochemically driven surface transformations is challenging. The composition of LaNiO 3 thin film surfaces can now dictate surface transformation and activity of the oxygen evolution reaction.

Exosomes play an important role in intercellular communication and metastatic progression of hepatocellular carcinoma (HCC). However, cellular communication between heterogeneous HCC cells with different metastatic potentials and the resultant cancer progression are not fully understood in HCC. Here, HCC cells with high-metastatic capacity (97hm and Huhm) were constructed by continually exerting selective pressure on primary HCC cells (MHCC-97H and Huh7). Through performing exosomal miRNA sequencing in HCC cells with different metastatic potentials (MHCC-97H and 97hm), many significantly different miRNA candidates were found. Among these miRNAs, miR-92a-3p was the most abundant miRNA in the exosomes of highly metastatic HCC cells. Exosomal miR92a-3p was also found enriched in the plasma of HCC patient-derived xenograft mice (PDX) model with high-metastatic potential. Exosomal miR-92a-3p promotes epithelial-mesenchymal transition (EMT) in recipient cancer cells via targeting PTEN and regulating its downstream Akt/Snail signaling. Furthermore, through mRNA sequencing in HCC cells with different metastatic potentials and predicting potential transcription factors of miR92a-3p, upregulated transcript factors E2F1 and c-Myc were found in high-metastatic HCC cells promote the expression of cellular and exosomal miR-92a-3p in HCC by directly binding the promoter of its host gene, miR17HG. Clinical data showed that a high plasma exosomal miR92a-3p level was correlated with shortened overall survival and disease-free survival, indicating poor prognosis in HCC patients. In conclusion, hepatoma-derived exosomal miR92a-3p plays a critical role in the EMT progression and promoting metastasis by inhibiting PTEN and activating Akt/Snail signaling. Exosomal miR92a-3p is a potential predictive biomarker for HCC metastasis, and this may provoke the development of novel therapeutic and preventing strategies against metastasis of HCC.

Over the last century, improvement in mechanical performance of structural metals has primarily been achieved by creating more and more complex chemical compositions. Such compositional complexity raises costs, creates supply vulnerability, and complicates recycling. As a relatively new metal processing technique, metal 3D-printing provides a possibility to revisit and simplify alloy compositions, achieving alloy plainification, which enables simpler materials to be used versatilely. Here, we demonstrate that high performance simple plain carbon steels can be produced through 3D-printing. Our 3D-printed plain carbon steels achieve tensile and impact properties comparable, or even superior to those of ultra-high strength alloy steels such as Maraging steels. The sequential micro-scale melting and solidification intrinsic to 3D-printing provides sufficient cooling to directly form martensite and/or bainite, strengthening the steels while maintaining microstructural and property homogeneity without dimensional limitations or heat treatment distortion and cracking. By manipulating 3D-printing parameters, we can tailor the microstructure, thereby control the properties for customized applications. This offers a scalable approach to reduce alloy complexity without compromising mechanical performance and highlights the opportunities for the 3D-printing to help drive alloy plainification. The study shows that 3D-printing enables plain carbon steels to achieve martensitic or bainitic microstructures with strength and toughness comparable to alloyed steels. It advocates for alloy simplification and sustainability in metal 3D-printing.

The advanced electron backscatter diffraction (EBSD) technique was used to examine the microstructure of a widely used A517GrQ low-carbon low-alloy steel after different heat treatments. Three distinguishable microstructures were studied. Slow cooling in the furnace after austenitization led to the formation of a granular structure that consisted of massive ferrite and randomly distributed M–A constituents. Medium rate cooling in air produced granular bainite that was composed of lath ferrite, and M–A constituents were distributed between the laths. Lath martensite was formed by fast cooling into ice brine. EBSD analysis revealed that, in one austenite grain, the massive ferrite in the granular structure and the lath ferrite in the granular bainite were predominately separated by high-angle boundaries, whilst the ferrite laths in the martensite were separated by low-angle boundaries. The specimens with granular bainite formed by medium rate cooling had higher strength (both yield strength and tensile strength), and also almost 5 times higher Charpy impact energy than that of the specimens containing granular structure obtained at the slow cooling. The strength of the specimens with lath martensite after quenching into ice brine was slightly higher than the granular bainite but were associated with much lower Charpy impact energy. The present work indicates that it is critical to control the cooling rate after austenitization in order to simultaneously achieve high strength and high toughness of low-carbon low-alloy steels.