FUBP3 mediates the amyloid-ß-induced neuronal NLRP3 expression.

JOURNAL/nrgr/04.03/01300535-202507000-00028/figure1/v/2024-09-09T124005Z/r/image-tiff Alzheimer's disease is characterized by deposition of amyloid-ß, which forms extracellular neuritic plaques, and accumulation of hyperphosphorylated tau, which aggregates to form intraneuronal neurofibrillary tangles, in the brain. The NLRP3 inflammasome may play a role in the transition from amyloid-ß deposition to tau phosphorylation and aggregation. Because NLRP3 is primarily found in brain microglia, and tau is predominantly located in neurons, it has been suggested that NLRP3 expressed by microglia indirectly triggers tau phosphorylation by upregulating the expression of pro-inflammatory cytokines. Here, we found that neurons also express NLRP3 in vitro and in vivo, and that neuronal NLRP3 regulates tau phosphorylation. Using biochemical methods, we mapped the minimal NLRP3 promoter and identified FUBP3 as a transcription factor regulating NLRP3 expression in neurons. In primary neurons and the neuroblastoma cell line Neuro2A, FUBP3 is required for endogenous NLRP3 expression and tau phosphorylation only when amyloid-ß is present. In the brains of aged wild-type mice and a mouse model of Alzheimer's disease, FUBP3 expression was markedly increased in cortical neurons. Transcriptome analysis suggested that FUBP3 plays a role in neuron-mediated immune responses. We also found that FUBP3 trimmed the 5' end of DNA fragments that it bound, implying that FUBP3 functions in stress-induced responses. These findings suggest that neuronal NLRP3 may be more directly involved in the amyloid-ß-to-phospho-tau transition than microglial NLRP3, and that amyloid-ß fundamentally alters the regulatory mechanism of NLRP3 expression in neurons. Given that FUBP3 was only expressed at low levels in young wild-type mice and was strongly upregulated in the brains of aged mice and Alzheimer's disease mice, FUBP3 could be a safe therapeutic target for preventing Alzheimer's disease progression.

Topical frankincense treatment for frostbite based on microcirculation improvements.

ETHNOPHARMACOLOGICAL RELEVANCE: The Chinese traditional medicine frankincense, which can promote blood circulation, is often used to treat skin lesions, including frostbite. AIM OF THE STUDY: To explore the properties of frankincense oil extract (FOE) and its active ingredients and their effect on frostbite wound recovery as an approach to understand the mechanism associated with microcirculation-improvement therapy. MATERIALS AND METHODS: The microcirculation-improving effects of FOE and its active ingredients were evaluated using liquid nitrogen-induced frostbite animal models. The rewarming capacity of FOE on the skin was determined through infrared detection, and frostbite wound healing was evaluated following haematoxylin and eosin (H&E) staining and fibre analysis. Moreover, related factors were examined to determine the anti-apoptotic, anti-inflammatory, and microcirculatory properties of FOE and its active ingredients on affected tissue in the context of frostbite. RESULTS: FOE and its active ingredients rapidly rewarmed wound tissue after frostbite by increasing the temperature. Moreover, these treatments improved wound healing and restored skin structure through collagen and elastin fibre remodelling. In addition, they exerted anti-apoptotic effects by decreasing the number of apoptotic cells, reducing caspase-3 expression, and eliciting anti-inflammatory effects by decreasing COX-2 and ß-catenin expression. They also improved microcirculatory disorders by decreasing HIF-1α expression and increasing CD31 expression. CONCLUSIONS: FOE and its active components can effectively treat frostbite by enhancing microcirculation, inhibiting the infiltration of inflammatory cells, decreasing cell apoptosis, and exerting antinociceptive effects. These findings highlight FOE as a new treatment option for frostbite, providing patients with an effective therapeutic strategy.

[Daidzein attenuates high glucose-induced inflammatory injury in macrophages by regulating NLRP3 inflammasome signaling pathway].

This study aims to explore the inhibitory effect of daidzein on macrophage inflammation induced by high glucose via regulating the NOD-like receptor protein 3(NLRP3) inflammasome signaling pathway. The cell counting kit-8(CCK-8) assay was employed to detect the effects of daidzein at different concentrations on the viability of RAW264.7 cells. Western blot was employed to determine the protein level of tumor necrosis factor(TNF)-α in macrophages exposed to different concentrations of glucose for different time periods as well as the expression levels of proteins involved in the polarization and Toll-like receptor 4(TLR4)-myeloid differentiation factor(MyD88)-NLRP3 inflammasome pathway of the macrophages exposed to high glucose. Enzyme-linked immunosorbent assay was employed to measure the levels of TNF-α, interleukin(IL)-18, and IL-1ß secreted by macrophages. The expression level of nuclear factor-kappa B(NF-κB) p65 in macrophages exposed to high glucose was detected by immunofluorescence, and the level of intracellular reactive oxygen species(ROS) was detected by the DCFH-DA fluorescent probe. The mRNA levels of NLRP3, TNF-α, and IL-18 in macrophages were determined by qRT-PCR. The results showed that treatment with 30 mmol·L~(-1) glucose for 48 h was the best condition for the modeling of macrophage injury. Compared with the blank group, the model group showed improved polarization of macrophages, increased secretion of TNF-α, IL-18, and IL-1ß, elevated ROS level, and up-regulated expression of NF-κB p65. In addition, the modeling up-regulated the mRNA levels of NLRP3, TNF-α, and IL-18 and the protein levels of TLR4, MyD88, NLRP3, NF-κB p65, p-NF-κB p65, I-κB, p-I-κB, ASC, pro-caspase-1, pro-IL-1ß, cleaved IL-1ß, and pro-IL-18. Compared with the model group, daidzein(10, 20, and 40 µmol·L~(-1)) lowered the levels of inflammatory cytokines and down-regulated the mRNA levels of NLRP3, TNF-α, and IL-18 as well as the protein levels of TLR4, MyD88, NLRP3, NF-κB p65, p-NF-κB p65, I-κB, p-I-κB, ASC, pro-caspase-1, pro-IL-1ß, cleaved IL-1ß, and pro-IL-18. In addition, daidzein reduced intracellular ROS. According to the available reports and the experimental results, high glucose can induce the polarization of macrophages and promote the secretion of inflammatory cytokines. Daidzein can inhibit the expression of ROS in macrophages by regulating the NLRP3 inflammasome signaling pathway, thereby reducing the inflammation of macrophages exposed to high glucose.

[Screening and evaluation of core prescriptions for impotence based on network robustness and data mining].

This study aims to explore and analyze ancient proven prescriptions and famous physician cases for treating impotence, so as to obtain the core prescriptions for traditional Chinese medicine(TCM) treatment of impotence. It further selected and evaluated these core prescriptions to provide a demonstration for the development of new drugs for advantageous diseases treated with TCM. Through the retrieval of ancient proven prescriptions and famous physician cases for treating impotence, a database of prescriptions for treating impotence was established, and the TCM inheritance computational platform was used to explore and analyze the medication patterns of these proven prescriptions and famous physician cases. Based on the TCM efficacy prediction platform of network robustness, the interference scores of core prescriptions in the ancient proven prescriptions and famous physician cases were calculated and analyzed. On this basis, the results of ancient proven prescriptions, famous physician cases, and computational analysis were comprehensively evaluated to determine the development priority level of the core prescriptions obtained through clustering. The results revealed that medicines in the ancient proven prescriptions and famous physician cases primarily aimed at tonifying deficiency, promoting blood circulation, eliminating blood stasis, clearing heat, and resolving external symptoms, with a particular focus on warm-natured and sweet-flavored medicines associated with the spleen, liver, kidney, and lung meridians. The core prescriptions obtained from the clustering analysis of ancient proven prescriptions and famous physician cases indicated that ancient proven prescriptions combination 1 had the most perturbing effect on the disease network as determined by network robustness analysis. A comprehensive evaluation indicated that prescription combination 1 had the most optimal development potential. TCM treatment for impotence focused on regulating the functions of the spleen, liver, kidney, and lung, aiming to tonify deficiency, with heat-clearing, blood-activating, stasis-resolving, and exterior-releasing medications supplemented. The obtained ancient proven prescriptions combination 1 exhibited the highest potential development value. The integrated strategy of "ancient proven prescriptions-famous physician cases-computational analysis" can be utilized to screen candidate TCM new drug prescriptions.

Terlipressin versus placebo or noradrenalin in the treatment of hepatorenal syndrome: a systematic review and meta-analysis.

Background: Hepatorenal syndrome (HRS) bears a very poor prognosis with unmet need for safe and effective therapies. This systematic review and meta-analysis aimed to re-assess safety and efficacy of terlipressin versus placebo or noradrenaline for HRS, based on previous randomized controlled trials (RCTs). Methods: PubMed, EMBASE, MEDLINE (OvidSP) and Cochrane registers were searched for trials reporting HRS treatment by terlipressin or noradrenaline. Search terms included: "hepatorenal syndrome", "terlipressin", "noradrenaline", and corresponding synonyms. Comparisons between terlipressin, noradreanaline, placebo and albumin were included. Meta-analysis was conducted for treatment response (both HRS reversal and complete response), mortality and adverse events. Results: 15 RCTs were included, enrolling 1236 HRS patients (type 1: 1166, type 2: 70). Treatment with terlipressin+albumin resulted in significantly higher treatment response than placebo+albumin or albumin alone (risk ratio [RR]:2.75, 95% confidence interval [CI]:1.96 to 3.84; I2 = 28%, p = 0.23; n = 6). Noradrenaline was equally effective in treatment response compared to terlipressin (RR:1.19, 95% CI:0.96 to 1.46; I2 = 16%, p = 0.31; n = 7), but trials were limited by its non-blind design and small size. Sensitivity analysis showed no survival benefit with terlipressin compared to either placebo (RR:1.03, 95% CI:0.83 to 1.28; I2 = 0%, p = 0.72; n = 3) or noradreanline (RR:0.83, 95% CI:0.69 to 1.00; I2 = 4%, p = 0.39; n = 7) at 30 days of follow-up. Terlipressin carried higher risk of treatment-related adverse events compared to either placebo (RR:2.92, 95% CI:1.48 to 5.77; I2 = 0%, p = 0.75; n = 3) or noradrenaline (RR:2.45, 95% CI:1.37 to 4.37; I2 = 0%, p = 0.92; n = 5). Conclusion: Terlipressin is superior to placebo, and comparable to noradreanline in treatment response, but survival benefit is lacking. Noradrenaline, with low certainty, may be a better alternative for HRS.

Resilience to climate change by improving air circulation efficiency and pollutant dispersion in cities: A 3D-UFO approach to urban block design.

Urbanization presents significant challenges to air quality and climate resilience, necessitating pioneering urban design solutions to enhance air circulation and mitigate pollutants. This urgency intensifies in densely populated and rapidly evolving regions like Wuhan, China, where effective strategies are crucial for sustainable development. This study introduces an innovative 3D Urban Form Optimization (3D-UFO) methodology aimed at advancing urban block design configurations to improve urbanization quality. The 3D-UFO approach systematically addresses the multifaceted challenges of climate change and air quality degradation in rapidly urbanizing areas. Integrating GIS-based analysis for comprehensive Land-Use and Land-Cover Change (LULCC) evaluation with Computational Fluid Dynamics (CFD), our approach employs systematic exploration guided by established urban airflow study protocols. Robust metrics-Airspeed-Ratio (ASR) and Average-Age-of-Local-Air (ALA)-quantify the impact of diverse urban block design strategies on air-circulation efficiency and pollutant dispersion. Analysis across various urban scenarios, yielded by the proposed 3D-UFO approach, reveal significant variations in air-circulation efficiency at street and building levels (SBLs). Optimal urban air circulation achieves efficiency levels of 50-70 % when airflow aligns orthogonally across and parallel to streets. Adjusting street-level building heights, especially incorporating taller structures, boosts ventilation efficiency by 20-30 %, which is crucial for improving airflow dynamics in urban settings. Higher Height-to-Width (H/W) ratios (>5.5) yield a 218.5 % increase in ventilation in specific urban layouts. Notably, the synergy of street-aspect-ratio and building-height-ratio adjustments significantly enhance ASR and ALA, providing a quantitative foundation for sustainable urban development. This 3D-UFO methodology, fusing LULCC analysis, CFD simulations, and systematic exploration, emerge as a valuable framework for urban planners and designers. The study offers informed insights into urban sustainability challenges, demonstrating advancements in addressing environmental concerns and improving living conditions within densely populated environments.

A novel prognostic scoring system for AML patients undergoing allogeneic hematopoietic stem cell transplantation with real world validation.

OBJECTIVES: This study aims to develop a robust predictive model for survival in AML patients undergoing allo-HSCT. METHODS: It was performed a retrospective analysis of 336 AML patients who underwent allo-HSCT at Peking University First Hospital between September 2003 and March 2023. Univariable and multivariable Cox regression analyses were conducted to determine hazard ratios (HR) for overall survival. A predictive model was developed based on multivariable analysis results. Internal validation was carried out through bootstrap resampling, and the model's performance was assessed using the Concordance Index (C-index), Receiver Operating Characteristics (ROC) curve, calibration plots, and Decision Curve Analysis (DCA). RESULTS: Our prognostic model, which includes age, disease stage, donor/recipient gender, mononuclear cell counts, and the Hematopoietic Cell Transplantation Comorbidity Index (HCT-CI), effectively stratified patients into low-risk and high-risk groups. The two groups showed significant differences in overall survival (P<0.0001), disease-free survival (P<0.0001), non-relapse mortality (NRM) (P<0.0001), and relapse rates (P=0.08). The model achieved a C-index of 0.71. Calibration plots and DCA confirmed strong alignment between predicted and observed outcomes. Subgroup analysis revealed that overall survival was significantly lower in the high-risk group compared to the low-risk group in both measurable residual disease (MRD) negative and MRD positive subgroups (P=0.015 for both). CONCLUSION: The developed prognostic model, which integrates comprehensive disease and patient characteristics, enhances risk stratification for AML patients undergoing allo-HSCT. This model effectively stratifies risk in both MRD-negative and MRD-positive subgroups and may facilitate more informed MRD-based treatment decisions.

New Antifungal and Antifeedant Metabolites from Daldinia eschscholtzii Cocultured with Colletotrichum pseudomajus.

The synchronous co-culture of Daldinia eschscholtzii and Colletotrichum pseudomajus produced one new linear polyketide, eschscholin C (1), along with three known compounds (2-4). One new acorane sesquiterpene, coldaldrin A (5), and one new amide derivative, coldaldamide A (6) as the probe for polyketide intermediate capture, and three known compounds (7-9) were isolated from the sequential co-culture of D. eschscholtzii with C. pseudomajus. The structures and absolute configurations of 1, 5 and 6 were established by spectroscopic analysis including 1D, 2D NMR, the calculations of the NMR, and ECD data. Most compounds showed significant antifungal activities against the tea pathogens C. pseudomajus, and Fusarium asiaticum with MICs of 2-8 µg/mL. Compound 4 also showed antifeedant activity against silkworms with feeding deterrence indices of 79% at the concentration of 50 µg/cm2.

How substance use preferences and practices relate to fentanyl exposure among people who use drugs in Rhode Island, USA.

Background: Over 107,000 people died in the United States (U.S.) from drug overdose in 2022, with over one million overdose deaths since 1999. The U.S. drug market is characterized by a highly toxic, unregulated, and rapidly changing supply. Understanding the extent of exposure to fentanyl among people who use drugs (PWUD) will guide public health interventions aimed to decrease overdose. Methods: We utilized baseline data from the Rhode Island Prescription and Illicit Drug Study, a randomized controlled trial of harm reduction-oriented interventions for PWUD in Rhode Island from 2020 to 2023. We evaluated sociodemographic and drug use-related covariates and examined fentanyl presence in urine drug testing (UDT). We built a classification and regression tree (CART) model to identify subpopulations with the highest likelihood of fentanyl presence in UDT. Results: Among 446 participants, those with fentanyl present in UDT tended to be younger, non-Hispanic white, and had recently injected drugs (p<0.05 for all). The CART analysis demonstrated a large variation in sample sub-groups' likelihood of fentanyl presence in UDT, from an estimated probability of 0.09 to 0.90. Expected recent fentanyl exposure was the most important predictor of fentanyl in UDT. Conclusions: Univariate analyses and CART modeling showed substantial variation in the presence of fentanyl in UDT among PWUD. Harm reduction services for people actively injecting drugs and drug checking programs based on capacity-building, empowerment, and targeted towards those not yet engaged in services are urgently needed to support PWUD in navigating the current volatile drug supply.

Carboxymethyl Cellulose Gel Electrolyte Based on Hydrolyzed Keratin Modified for Dendrite-Free Zinc-Ion Batteries.

In order to alleviate the dendrite problem of zinc-ion batteries, a gel electrolyte is prepared by Maillard reactions occurring between hydrolyzed wool keratin and carboxymethyl cellulose under heating conditions. The prepared gel electrolyte with the addition of hydrolyzed wool keratin possesses good mechanical properties, and its maximum breaking strength, Young's modulus, and elastic modulus are 58.7, 10.77 MPa, and 157.73 MJ m2, respectively, which are far superior to those of the pure carboxymethyl cellulose gel electrolyte. Because hydrolyzed wool keratin includes amino acids and polypeptides, the ionic conductivity of the prepared gel electrolyte is improved. More importantly, amino and carboxyl groups introduced by hydrolyzed wool keratin contribute to uniform deposition of zinc ions and ease dendrite growth. The assembled symmetric battery was stable for 600 h at a current density of 0.5 mA cm-2 with a capacity of 0.5 mAh cm-2. Combined with a NH4V4O10 cathode, a full battery provides a cycling stability of over 2000 h with a Coulomb efficiency of 98.02%.

Beyond skin deep: Revealing the essence of iPS cell-generated skin organoids in regeneration.

Various methods have been used for in vivo and in vitro skin regeneration, including stem cell therapy, tissue engineering, 3D printing, and platelet-rich plasma (PRP) injection therapy. However, these approaches are rooted in the existing knowledge of skin structures, which overlook the normal physiological processes of skin development and fall short of replicating the skin's regenerative processes outside the body. This comprehensive review primarily focuses on skin organoids derived from human pluripotent stem cells, which have the capacity to regenerate human skin tissue by restoring the embryonic skin structure, thus offering a novel avenue for producing in vitro skin substitutes. Furthermore, they contribute to the repair of damaged skin lesions in patients with systemic sclerosis or severe burns. Particular emphasis will be placed on the origins, generations, and applications of skin organoids, especially in dermatology, and the challenges that must be addressed before clinical implementation.

In-depth comparative pathogenome, virulome, and resistome analysis of an extensive drug resistant Ralstonia mannitolilytica strain isolated from blood.

INTRODUCTION: Ralstonia mannitolilytica is an global opportunistic pathogen responsible for various diseases. In this study, we reported the genome of a R. mannitolilytica isolate responsible for bacteremia in an acute exacerbation of chronic obstructive pulmonary disease (AECOPD). METHODS: Bacterial identification was performed with a Vitek2™ Automated System and 16S rRNA sequencing with BLASTn against the Non-Redundant Protein Sequence (Nr) database. Genome sequencing and analysis were performed using PacBio RS II sequencer, Hierarchical Genome Assembly Process assembly, as well as multiple annotation databases to better understand the innate features. Antibiotic resistance genes and virulence factors were specifically identified through Antibiotic Resistance Genes database and Virulence Factors of Pathogenic Bacteria databases. RESULTS: The complete genome sequence was assembled into two chromosomes with 3,495,817 bp and 1,342,871 bp in length and GC% of 65.37 % and 66.43 %, respectively. The two chromosomes were fully annotated. In chromosome 1 and 2, 19 and 14 antibiotic resistant genes and 48 and 55 virulence factors were predicted, respectively. Specifically, beta-lactam resistance genes blaOXA-443, blaOXA-444 were acquired. CONCLUSIONS: This study aids in the understanding of the innate features of R. mannitolilytica in AECOPD.

Integrated bioinformatic analysis of protein landscape in gingival crevicular fluid unveils sequential bioprocess in orthodontic tooth movement.

BACKGROUND: The biological mechanisms driving orthodontic tooth movement (OTM) remain incompletely understood. Gingival crevicular fluid (GCF) is an important indicator of the periodontal bioprocess, providing valuable cues for probing the molecular mechanisms of OTM. METHODS: A rigorous review of the clinical studies over the past decade was conducted after registering the protocol with PROSPERO and adhering to inclusion criteria comprising human subjects, specified force magnitudes and force application modes. The thorough screening investigated differentially expressed proteins (DEPs) in GCF associated with OTM. Protein-protein interaction (PPI) analysis was carried out using the STRING database, followed by further refinement through Cytoscape to isolate top hub proteins. RESULTS: A comprehensive summarization of the OTM-related GCF studies was conducted, followed by an in-depth exploration of biomarkers within the GCF. We identified 13 DEPs, including ALP, IL-1ß, IL-6, Leptin, MMP-1, MMP-3, MMP-8, MMP-9, PGE2, TGF-ß1, TNF-α, OPG, RANKL. Bioinformatic analysis spotlighted the top 10 hub proteins and their interactions involved in OTM. Based on these findings, we have proposed a hypothetic diagram for the time-course bioprocess in OTM, which involves three phases containing sequential cellular and molecular components and their interplay network. CONCLUSIONS: This work has further improved our understanding to the bioprocess of OTM, suggesting biomarkers as potential modulating targets to enhance OTM, mitigate adverse effects and support real-time monitoring and personalized orthodontic cycles.

Hard and Soft Tissue Facial Landmarks for Mandibular Angle Reduction: A Clinical Study.

BACKGROUND: Square faces, which are influenced by genetic factors and structural features, are considered undesirable among the Asian population. Surgical interventions, such as mandibular angle reduction, aim to alter these characteristics, though complications may arise. We aimed to investigate the morphology of the mandibular angle and masseter muscle thickness using computed tomography (CT) and to analyze hard and soft tissue correlations to enhance surgical outcomes for patients with square faces. METHODS: This retrospective clinical study included 100 Taiwanese patients aged 18-50 years. CT was used to analyze key clinical parameters, including bilateral mandibular width, mandibular divergence angle, ramus height, distance from the mandibular angle to the inferior alveolar nerve (IAN), and the thickness of the masseter muscle. RESULTS: Significant correlations were noted between the patients' physical height and weight, mandibular width, ramus height, masseter thickness, and distance from the angle to the IAN. Males exhibited a significantly longer and thicker ramus height (66.48 ± 4.28 mm), greater masseter thickness (15.46 ± 2.35 mm), and greater safety range for mandibular angle reduction surgery (18.35 ± 3.19 mm) (p < 0.00008). Significant correlations were observed among all parameters, except between mandibular width and gonial angle and the distance from the angle to the IAN and between mandibular divergence and masseter muscle thickness (p > 0.1). CONCLUSIONS: Our study highlighted the complex interplay among factors that contribute to square facial morphology. Careful preoperative assessments and customized surgical planning are essential for addressing this multifaceted clinical challenge.

Comparison of bipolar membrane electrodialysis, electrodialysis metathesis, and bipolar membrane electrodialysis multifunction for the conversion of waste Na2SO4: Process performance and economic analysis.

To convert Na2SO4 into other high-value products (NaOH, H2SO4, and (NH4)2SO4), three types of cell configurations of electrodialysis (ED) were applied (three-compartment bipolar membrane ED (BMED), four-compartment ED metathesis (EDM) and five-compartment bipolar membrane ED multifunction (BMEDM)) and parameters such as average voltage variation, removal ratio of salt, product concentration, conversion rate, ion flux, and energy consumption were calculated and compared. The experimental results and calculations indicated that the overall performance of BMEDM was inferior to that of BMED and EDM. An industrial model was established, which indicated that the net profit from converting Na2SO4 using BMEDM was always higher than that from BMED and EDM. Based on the advantages of low investment (132 $) and energy cost (152 $/t Na2SO4), EDM was applicable to factories with a low output of Na2SO4 (production capacity <45%), whereas BMED (157.3 $/t Na2SO4) and BMED-5 (227.6 $/t Na2SO4) were applicable to factories with a high output of Na2SO4 (production capacity >45%) based on high net profits.

Microplastics in freshwater food chains: Priority list based on identification of oxidative stress response characteristic.

Exogenous exposure to high concentrations of microplastics (MPs) cause oxidative damage to freshwater food chains (FFCs). Thus, the patterns and mechanisms of oxidative stress responses (OSRs) induced by MPs in FFC organisms were investigated using theoretical simulation methods. Results showed an increasing (reduced) OSR was found in lower trophic levels (higher trophic levels). Besides, polycarbonate (polyvinyl chloride) causes the most (least) significant OSRs in FFC organisms, respectively. The impacts of MP additives were also analyzed using the full factorial experimental design, revealing flame retardants significantly influence oxidative stress variability. A constructive solution of "restriction-control-focus" is proposed for different types of MPs by the coefficient of variation-corrected CRITIC and the nested mean classification method. The mechanism analysis revealed a positive correlation between protein secondary structure orderliness and OSRs. Proteins in organisms that contain a high proportion of hydrophobic non-polar amino acids are more likely to bind to MP and enhance OSRs. This is the first study assessing the OSR patterns and ecological risks of MPs and their additives in FFCs with a proposed priority list, providing theoretical support for risk assessments and management strategies in freshwater environments.

Chromosome-level genome assemblies of two littorinid marine snails indicate genetic basis of intertidal adaptation and ancient karyotype evolved from bilaterian ancestors.

Living in the intertidal environment, littorinid snails are excellent models for understanding genetic mechanisms underlying adaptation to harsh fluctuating environments. Furthermore, the karyotypes of littorinid snails, with the same chromosome number as the presumed bilaterian ancestor, make them valuable for investigating karyotype evolution from the bilaterian ancestor to mollusks. Here, we generated high-quality, chromosome-scale genome assemblies for 2 littorinid marine snails, Littorina brevicula (927.94 Mb) and Littoraria sinensis (882.51 Mb), with contig N50 of 3.43 Mb and 2.31 Mb, respectively. Comparative genomic analyses identified 92 expanded gene families and 85 positively selected genes as potential candidates possibly associated with intertidal adaptation in the littorinid lineage, which were functionally enriched in stimulus responses, innate immunity, and apoptosis process regulation and might be involved in cellular homeostasis maintenance in stressful intertidal environments. Genome macrosynteny analyses indicated that 4 fissions and 4 fusions led to the evolution from the 17 presumed bilaterian ancestral chromosomes to the 17 littorinid chromosomes, implying that the littorinid snails have a highly conserved karyotype with the bilaterian ancestor. Based on the most parsimonious reconstruction of the common ancestral karyotype of scallops and littorinid snails, 3 chromosomal fissions and 1 chromosomal fusion from the bilaterian ancient linkage groups were shared by the bivalve scallop and gastropoda littorinid snails, indicating that the chromosome-scale ancient gene linkages were generally preserved in the mollusk genomes for over 500 million years. The highly conserved karyotype makes the littorinid snail genomes valuable resources for understanding early bilaterian evolution and biology.

Machine Learning-Assisted Gesture Sensor Made with Graphene/Carbon Nanotubes for Sign Language Recognition.

Gesture sensors are essential to collect human movements for human-computer interfaces, but their application is normally hampered by the difficulties in achieving high sensitivity and an ultrawide response range simultaneously. In this article, inspired by the spider silk structure in nature, a novel gesture sensor with a core-shell structure is proposed. The sensor offers a high gauge factor of up to 340 and a wide response range of 60%. Moreover, the sensor combining with a deep learning technique creates a system for precise gesture recognition. The system demonstrated an impressive 99% accuracy in single gesture recognition tests. Meanwhile, by using the sliding window technology and large language model, a high performance of 97% accuracy is achieved in continuous sentence recognition. In summary, the proposed high-performance sensor significantly improves the sensitivity and response range of the gesture recognition sensor. Meanwhile, the neural network technology is combined to further improve the way of daily communication by sign language users.

An integrated machine learning model enhances delayed graft function prediction in pediatric renal transplantation from deceased donors.

BACKGROUND: Kidney transplantation is the optimal renal replacement therapy for children with end-stage renal disease; however, delayed graft function (DGF), a common post-operative complication, may negatively impact the long-term outcomes of both the graft and the pediatric recipient. However, there is limited research on DGF in pediatric kidney transplant recipients. This study aims to develop a predictive model for the risk of DGF occurrence after pediatric kidney transplantation by integrating donor and recipient characteristics and utilizing machine learning algorithms, ultimately providing guidance for clinical decision-making. METHODS: This single-center retrospective cohort study includes all recipients under 18 years of age who underwent single-donor kidney transplantation at our hospital between 2016 and 2023, along with their corresponding donors. Demographic, clinical, and laboratory examination data were collected from both donors and recipients. Univariate logistic regression models and differential analysis were employed to identify features associated with DGF. Subsequently, a risk score for predicting DGF occurrence (DGF-RS) was constructed based on machine learning combinations. Model performance was evaluated using the receiver operating characteristic curves, decision curve analysis (DCA), and other methods. RESULTS: The study included a total of 140 pediatric kidney transplant recipients, among whom 37 (26.4%) developed DGF. Univariate analysis revealed that high-density lipoprotein cholesterol (HDLC), donor after circulatory death (DCD), warm ischemia time (WIT), cold ischemia time (CIT), gender match, and donor creatinine were significantly associated with DGF (P < 0.05). Based on these six features, the random forest model (mtry = 5, 75%p) exhibited the best predictive performance among 97 machine learning models, with the area under the curve values reaching 0.983, 1, and 0.905 for the entire cohort, training set, and validation set, respectively. This model significantly outperformed single indicators. The DCA curve confirmed the clinical utility of this model. CONCLUSIONS: In this study, we developed a machine learning-based predictive model for DGF following pediatric kidney transplantation, termed DGF-RS, which integrates both donor and recipient characteristics. The model demonstrated excellent predictive accuracy and provides essential guidance for clinical decision-making. These findings contribute to our understanding of the pathogenesis of DGF.