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The science of Arabic coffee (Qahwa): from phytochemistry and nutritional profile to health benefits and safety evaluation.

Arabic coffee (Qahwa), a traditional beverage widely consumed in the Middle East, has attracted increasing scientific attention due to its distinctive phytochemical composition and associated health effects. This review provides an integrated analysis of Qahwa's nutritional profile, focusing on its key bioactive constituents, including chlorogenic acids, caffeine, diterpenes (cafestol and kahweol), and phenolic compounds. These constituents contribute to a range of biological activities, notably antioxidant, anti-inflammatory, hepatoprotective, and metabolic regulatory effects. The influence of technological variables, including roasting degree, brewing method, and bean origin, on the chemical composition and functional properties is critically examined. Safety concerns, particularly acrylamide formation and mycotoxin contamination, are also discussed. Although emerging data support Qahwa's potential as a functional beverage, further research is required to clarify dose-response relationships, synergistic interactions, and long-term health outcomes. This work highlights Qahwa as a promising candidate for food and nutraceutical applications, warranting standardized compositional profiling and toxicological evaluation.

Humans

Interfacial engineering of cobalt tungstate-halloysite nanotube nanocomposite for electrochemical detection of synthetic vanillin in food matrices.

In processed foods and medicine, synthetic vanillin is widely used, although excessive intake poses toxicological risks. Due to the rising usage of synthetic vanillin in food products and associated health hazards, quick, sensitive, and reliable analytical methods are needed to precisely measure vanillin in complex food matrices. This work introduces a CoWO4@F-HNT/GCE nanocomposite as an efficient electrocatalytic modifier for glassy carbon electrodes aimed at trace-level synthetic vanillin detection. Structural and microscopic analyses confirmed phase-pure monoclinic CoWO4, preservation of the tubular aluminosilicate framework, and homogeneous nanoparticle anchoring on F-HNT. Differential pulse voltammetry provided a broad linear range from 0.01 to 372.14 μM and a low detection limit of 4.3 nM, together with excellent selectivity against common interferents, good cycling stability, and high inter-electrode reproducibility. These characteristics position the CoWO4@F-HNT-modified electrode as a cost-effective and reliable platform for on-site quality control of synthetic vanillin in complex food matrices.

Benzaldehydes

Weight and metabolic changes in patients with schizophrenia treated with paliperidone palmitate 6-month formulation versus paliperidone palmitate 3-month formulation: a post-hoc analysis.

OBJECTIVE: To determine the effect that paliperidone palmitate 6-month long-acting injectable formulation (PP6M) had on metabolic parameters including body weight (BW), and blood lipid profiles, a post-hoc analysis was conducted to assess changes in BW from baseline to the end of study based on age, body mass index (BMI), and changes in blood lipid profiles during a 12-month, phase 3, double-blind (DB) clinical study. Long term effects of PP6M on BW and BMI were further explored during a 24-month extension study in which participants were treated exclusively with PP6M. METHOD: In the 12-month DB phase, participants were randomized to receive PP6M or paliperidone palmitate 3-month long-acting injectable formulation (PP3M). The mean change in BW and abnormal weight percent change from baseline were calculated at endpoint by age, gender, and BMI. Additionally, treatment-emergent shifts from baseline for the four key lipid parameters (fasting low density lipoprotein [LDL], fasting triglycerides [TG], fasting total cholesterol [TC], and fasting high density lipoprotein [HDL]) during DB were assessed. Following this study, participants were given the opportunity to transition to a 24-month extension study and be treated with PP6M. The mean change and percent change in BW, and the mean change in BMI from DB baseline to the end of the extension study (36&#xa0;months total) were calculated. RESULTS: Participants who were treated with PP6M showed numerically less weight gain, BMI, waist circumference, and more weight decrease compared to PP3M group during 12-month DB phase, though the proportion of participants reporting an abnormal change (&#x2265;7% change) in BW did not significantly differ between PP3M and PP6M. The weight differences were more pronounced in the younger age group (18-25&#xa0;years) and those who were overweight (BMI: 25 to <30&#xa0;kg/m2. Numerical differences in favor of PP6M were found in fasting blood lipids (HDL, LDL, TG, and TC). The changes in BW and BMI over time remained consistent throughout the 24-month extension, favoring PP6M in each instance. CONCLUSIONS: This post-hoc analysis demonstrated that PP6M was comparable to PP3M in terms of metabolic parameters; however, it may have a beneficial effect on weight gain, especially in young patients. TRIAL REGISTRATION: Post-Hoc Analysis of Studies NCT03345342 and NCT04072575 (ClinicalTrials.gov). Significant outcomes The findings from this study have highlighted that participants who were treated with the 6-month long-acting injectable formulation of paliperidone exhibited less weight gain during treatment overall, and significantly less weight gain in adolescents and young adults. Importantly, this trend continued over the course of long-term treatment, regardless of age. Participants treated with the 6-month formulation also had fewer shifts in blood lipids outside of the normal range and had more favorable changes in body mass index and waist circumference. These results suggest that when considering metabolic dysregulation as a factor in choosing a long-acting injectable antipsychotic, the 6-month formulation is a viable alternative to the 3-month formulation, particularly in younger patients with schizophrenia. Limitations Because this is a post hoc analysis and the study was not powered to test weight and metabolic changes, most endpoints were summarized descriptively and the statistical test was limited to the main endpoint (abnormal percent weight gain and loss).

Adult

Non-destructive prediction of lead content in oilseed rape leaves by fluorescence hyperspectral technology based on neural network.

Based on fluorescence hyperspectral imaging (FHSI), this study targeted rapid, non-destructive quantification of lead (Pb) content in oilseed rape leaves treated with varying silicon (Si) concentrations, acquiring fluorescence spectra over the 484.43-1001.61&#xa0;nm wavelength range. To optimize spectral data quality, preprocessing methods (Savitzky-Golay smoothing, first derivative, detrending) were comprehensively compared. Characteristic wavelengths were then selected via interval variable iterative shrinkage, which effectively compressed data dimensionality and reduced computational load. A hybrid SE-CL1DA model, fusing a 1D convolutional neural network, a long short-term memory network and SE attention mechanism was constructed, with Bayesian optimization tuning hyperparameters to boost stability. The BO-SE-CL1DA outperformed both traditional machine learning and insufficiently optimized deep learning model (Rp2=0.9609, RMSE&#xa0;=&#xa0;0.0377&#xa0;mg/kg, RPD&#xa0;=&#xa0;5.1736), thus enabling accurate Pb estimation, supporting Si-regulated heavy metal stress management and facilitating agricultural contamination monitoring.

Plant Leaves

Evaluation of Physical and Mental Workload and Transfusion Time in Trauma Resuscitation.

BACKGROUND: Trauma resuscitation is time sensitive and complex. Whole blood (WB) and blood components are standard treatments for trauma related hemorrhage, yet their nursing workload and transfusion time have not been well evaluated. PURPOSE: To assess feasibility of a simulation-based crossover trial and obtain preliminary estimates comparing nursing workload and transfusion completion time between WB and blood component administration. METHODS: A randomized crossover pilot study using in situ simulation was conducted with experienced trauma nurses. Time-motion analysis measured transfusion completion time, and the National Aeronautical and Space Administration Task Load Index assessed workload domains. RESULTS: Strong feasibility was demonstrated across recruitment, retention, adherence, and completion. WB was associated with significantly shorter transfusion time, lower overall workload and mental demand, less effort, and better perceived performance. CONCLUSIONS: These findings support the feasibility and justify a fully powered trial. WB may improve resuscitation efficiency and reduce cognitive burden, with potential implications for patient outcomes and nursing workflow.

Humans

Machine learning-assisted Mn-N-C nanozyme colorimetric sensor array for trace-level detection of biogenic amines in meat.

Accurate detection of biogenic amines (BAs) in meat remains challenging due to their high structural similarity and co-occurrence. Herein, an Mn-N-C nanozyme was synthesized via a metal-organic framework confined pyrolysis strategy, possessing excellent oxidase (OXD)- and peroxidase (POD)-like activities. The dual enzyme-like activity showed Km values of 0.1584&#xa0;mM (OXD) and 0.1498&#xa0;mM (POD), respectively, in detection system. Leveraging these properties, a colorimetric sensor array was constructed, enabling the detection of four representative BAs within a concentration range of 2-10&#xa0;ppm with 100% classification accuracy. In addition, a concentration independent recognition model based on an artificial neural network was developed to address signal nonlinearity interference in meat. The integrated system achieved accurate trace-level identification of BAs in perishable fish, pork, and chicken, demonstrating its applicability for early-stage BAs monitoring and quality deterioration warning during storage and transportation.

Biogenic Amines

The journey of fluxapyroxad, mandipropamid and mefentrifluconazole residues in two morphologically distinct chilli peppers: A comprehensive risk assessment from field to processing.

Understanding the residue fate of novel pesticides in crops is crucial for ensuring their safe application and safeguarding public health. This study examined the dissipation, processing factors (PFs), and risk assessment of fluxapyroxad, mandipropamid, and mefentrifluconazole in two morphologically distinct varieties of chilli peppers from field to processing. The half-lives of the three pesticides ranged from 5.42 to 10.05&#xa0;days, following first-order kinetics. The initial residues were higher in Chaotian chilli peppers (CCP) than in long green chilli peppers (GCP). However, dissipation occurred more rapidly in CCP. Washing notably reduced the residues (PF: 0.60-0.89), whereas sun drying and oven drying concentrated them (PF: 1.92-3.74), with oven drying leading to greater concentrations. Both chronic and acute dietary risk assessments suggested acceptable risk levels for the general population. This study offers reliable guidance for the rational application of these three pesticides in chilli pepper cultivation.

Capsicum

Histoplasmosis in children: emerging insights and evolving guidelines.

PURPOSE OF REVIEW: This review provides an update on the epidemiology, risk factors, clinical presentation, diagnosis, and management recommendations incorporating recommendations from recent publications including the Infectious Disease Society of America guidelines for the management of pulmonary and disseminated histoplasmosis. RECENT FINDINGS: Updates to the epidemiology of histoplasmosis indicate a broader geographic range than historically defined. Updated guidelines do not recommend routine treatment for asymptomatic, mild and moderate pulmonary histoplasmosis although itraconazole can be offered for immunocompromised children or for prolonged or worsening symptoms. Liposomal amphotericin B is recommended as initial treatment for severe histoplasmosis syndromes (severe pulmonary and disseminated histoplasmosis). Fibrosing mediastinitis, a late complication of histoplasmosis is treated with stenting of vessels and bronchi. Recent studies demonstrate that rituximab (anti-CD20 monoclonal antibody) may stop progression or lead to regression of progressive fibrosis. SUMMARY: Histoplasmosis has manifold manifestations, many of which are self-limited and do not require treatment. Severe histoplasmosis and its complications should be treated with liposomal amphotericin B followed by itraconazole. Clinical trials are needed to assess the efficacy of rituximab for the treatment of fibrosing mediastinitis.

Humans

AI-enabled viral genomics: from virus discovery to host prediction and emerging variant forecasting.

The rapid expansion of metagenomic sequencing has generated vast repositories of viral sequence data that far outpace our capacity to interpret them using conventional approaches. Highly divergent sequences, sparse functional annotation, and taxonomically uneven sampling present fundamental challenges for reference-dependent methods, which lose sensitivity precisely for novel and understudied viruses with high public health relevance. Artificial intelligence (AI) provides a new avenue to address these challenges by enabling predictive inference from viral genomes and proteins while reducing dependence on sequence similarity. In this Review, we discuss representative advances in AI for virus discovery, taxonomic classification and functional annotation, prediction of host range and zoonotic potential, and efforts toward forecasting emerging variants. These advances are transforming viral genomics from a largely descriptive discipline into one with increasing predictive capability. We also critically assess the major challenges that constrain current approaches, including the availability of high-quality and representative datasets, rigorous model evaluation, biological interpretability and responsible governance for increasingly capable AI models.

Artificial Intelligence

Long-term outcomes of non-operative compared to operative management of acute uncomplicated appendicitis - a systematic review and meta-analysis.

BACKGROUND: We evaluated long-term outcomes of non-operative management (NOM) versus surgical management of acute uncomplicated appendicitis. METHODS: Systematic review of studies comparing NOM versus surgery with &#x2265;2 years follow-up. Primary outcome was long-term failure rate. RESULTS: 9/1635 studies were included (3 RCTs; 6 non-RCT studies), involving 3883 patients; 5 were in pediatric populations. Median follow-up was 33.6 (range 24-312) months. NOM pooled long-term failure rate was 38.9% (95% CI: 31.1%-46.7%), increasing to 44.4% (95% CI: 41.4%-47.4%) in RCTs. Pooled appendectomy rate after NOM was 36.3% (95% CI: 28.9%-43.7%). Incidence of appendiceal neoplasms was approximately 0.3%. Non-operative management had cost savings of &#x20ac;1535 (95% CI: -&#x20ac;1892 to -&#x20ac;1178) versus surgery. CONCLUSIONS: NOM of acute uncomplicated appendicitis was associated with high long-term failure rates and significant risk of subsequent appendectomy.

Humans

Efficient homologous replacement and deletion of large genomic fragments through template-jumping prime editing in rice.

Homologous replacement of genomic sequences with large DNA fragments (>&#x2009;100&#x2009;bp) holds great potential for crop breeding, yet an efficient method to achieve such edits is lacking in plants. Here, in rice, we developed template-jumping prime editing (TJ-PE), a recently reported PE strategy for large targeted insertion, as an efficient tool for homologous replacement with DNA fragments ranging from dozens to hundreds of base pairs, and using TJ-PE, we replaced genomic fragments of up to 340&#x2009;bp with homologous fragments of the same length. In addition, our TJ-PE tool also enabled precise deletion of 944- to 2024-bp fragments in rice, with efficiencies of up to 34.6% for c. 2000-bp precise deletions. Collectively, this study expands the editing scope of PE in rice and establishes TJ-PE as a generalist tool for precise deletion and replacement of large DNA fragments.

Oryza

Intravenous thrombolysis for ischemic stroke in extended time window selected with CT perfusion: a systematic review and meta-analysis.

PURPOSE: Recent randomized controlled trials (RCTs) have provided new evidence regarding the efficacy and safety of intravenous thrombolysis (IVT) in patients with acute ischemic stroke (AIS) presenting within the extended time window (ETW). We performed a systematic review and meta-analysis to evaluate the efficacy and safety of IVT, in patients treated within the ETW and selected with perfusion imaging criteria, predominantly computed tomography perfusion (CTP). METHODS: A systematic review and meta-analysis, registered in PROSPERO, was conducted including all available RCTs comparing IVT with best medical treatment (BMT) in patients with AIS within the ETW, selected using advanced perfusion imaging criteria. The predefined efficacy outcomes were excellent functional outcome and good functional outcome at 3 months. The safety endpoints included symptomatic intracranial hemorrhage (sICH) and all-cause mortality at 90 days. RESULTS: Six RCTs, including 1182 patients treated with IVT and 1176 patients receiving BMT, were included. IVT was associated with a higher likelihood of achieving excellent and good functional outcomes at 3 months. Exploratory subgroup analyses by treatment timing suggested consistent findings up to 24 hours. No significant difference in 90-day mortality was observed between groups, whereas IVT was associated with an increased risk of sICH. CONCLUSION: Treatment with IVT in the ETW (4.5-24 h) in patients selected using advanced perfusion imaging, predominantly CTP, may be associated with improved functional outcomes in patients with AIS. Although IVT was associated with an increased risk of sICH, no significant increase in 90-day mortality was observed. PROSPERO REGISTRATION: CRD420261304314.

Aged

The Effectiveness of Passive Half-Time Interventions on Simulated Second-Half Performance in Elite Youth Soccer Players.

The half-time period in soccer provides a potentially important window to implement short-duration interventions aimed at maintaining second-half performance. However, passive rest has been associated with a decline in subsequent physical and technical performance. While re-warm-up strategies are well studied, little is known about the efficacy of technology-based, passive recovery modalities, device-supported interventions that require minimal active movement or physical exertion from the athlete, during half-time intervals. This study examined whether percussive therapy, electrical muscle stimulation, and pneumatic compression can mitigate second-half performance decline in male adolescent soccer players. Forty-three academy-level players (17.5 &#xb1; 0.6 years) completed a simulated soccer protocol including the Loughborough Soccer Pass Test (LSPT), repeated 20-meter sprints, and completed Total Quality of Recovery (TQR) assessments before and after half-time. Participants were randomized into one of four intervention groups during the 15-minute half-time interval: Passive Rest (CON), Percussive Therapy (Theragun Pro; TG), EMS (PowerDot; PD), and Pneumatic Compression (RecoveryAir; COMP). Linear mixed-effects models assessed Time &#xd7; Condition interactions for performance and recovery outcomes. Passive half-time rest led to significant deterioration in technical skill, sprint performance, and perceived recovery (p < .05) for the control group. TG and PD significantly improved technical performance (LSPT scores) compared to the control group (d = 0.65 and 0.72, respectively; p < .01). Furthermore, TG and COMP were effective at maintaining 20-meter sprint times (d = 0.58 and 0.49; p < .01), whereas the control group experienced significant slowing. Perceived recovery (TQR) scores significantly declined in the CON group from First Half to Second Half (16.5 &#xb1; 2.2 to 11.1 &#xb1; 2.3. However, this decline was significantly attenuated in all intervention groups: TG (17.5 &#xb1; 1.9 to 14.2 &#xb1; 1.9), PD (17.3 &#xb1; 1.9 to 15.1 &#xb1; 1.9), and COMP (17.6 &#xb1; 1.9 to 15.9 &#xb1; 2.0). Short-duration passive interventions during half-time can mitigate performance decline in adolescent soccer players. TG and EMS appear most effective for preserving technical skills, while COMP may support perceived recovery. These findings highlight practical strategies for optimizing in-game performance and inform evidence-based half-time protocols.

Humans

A review on the environmental distribution, toxic effects, bioaccumulation characteristics and risk assessment of short-chain chlorinated paraffins.

Chlorinated paraffins (CPs) are synthetic chemicals, widely used as flame retardants and plasticizers. As emerging contaminants, short chain chlorinated paraffins (SCCPs) have attracted tremendous attention due to their persistence, chronic toxicity, long-range transport potential and bioaccumulation potential. This review synthesizes global data on SCCPs' environmental occurrence, toxicological impacts, and bioaccumulation characteristics. SCCPs are ubiquitously detected in various environmental media, including water, sediment, air, soil, and biota. Ecotoxicological studies reveal that SCCPs have lethality, carcinogenicity, growth and developmental toxicities, organs toxicities and endocrine-disrupting effects across species, which pose risks to ecological systems and human health. In addition, the bioaccumulation effects of SCCPs in terrestrial and aquatic ecosystems were analyzed, and proposed the key factors affecting the bioaccumulation of SCCPs. Finally, the risk assessment of SCCPs contamination in the surface water and the soil was carried out, and all soil and most water bodies were found to be low risk. The present study could provide scientific basis and reference for environmental management of CPs products.

Paraffin

Evaluation of the effects of domestic tomato processing on biopesticide residue using natural deep eutectic solvents (NADES) extractions.

The present study evaluated the fate of fourteen botanical biopesticides in processed tomato samples. Various processing methods were employed, including washing, dehydration, and the preparation of juice and sauce. The extraction was performed using more sustainable techniques, aimed at minimizing the environmental impact of conventional organic solvents by substituting them with natural deep eutectic solvents (NADES). Solid-liquid extraction (SLE) and dispersive liquid-liquid microextraction with solidification of floating organic drop (DLLME-SFOD) were utilized for solid and liquid tomato samples, respectively. The NADES used was choline chloride:2,3-butanediol (ChClBt) at a 1:4&#xa0;molar ratio for both techniques, resulting in recovery values ranging from 69.2 to 106.2% for SLE, and extraction efficiencies reaching up to 46.2% for DLLME-SFOD. The impact of these processes was evaluated employing the processing factor (PF), yielding PF values of less than 1 in all cases. Compounds as pyrethrins, azadirachtin, and rotenone persisted after processing, posing a potential consumer risk.

Solanum lycopersicum

Strategies for mosaic variant calling in brain disorders.

The human brain is a genomic mosaic, where postzygotic mutations arising from embryogenesis to senescence drive diverse neurodevelopmental and neurodegenerative diseases. Because of numerous sequencing artifacts at ultralow variant allele frequencies (VAFs), detecting these variants remains a significant analytical challenge. This review focuses on single-nucleotide variants and small indels, summarizing current strategies for aligning sampling methods, including bulk, laser capture microdissection, and single-cell genomics, with the expected clonal architecture of the brain. It emphasizes that mosaic detection sensitivity is fundamentally constrained by sequencing depth, since even the most advanced algorithms cannot identify variants not physically represented in the sequencing library. The review further recommends the selection of variant calling algorithms based on validated VAF detection performance, matching tools like MuTect2 and MosaicForecast to their optimal performance ranges. Furthermore, we discuss how multitissue sampling, as emphasized by the SMaHT project, addresses the matched-control dilemma and supports accurate variant classification via cross-tissue VAF gradients. Integrating these established pipelines with multiomics modalities, including transcriptomic and epigenetic data, could advance the field toward a functional understanding of how the somatic genome impacts human brain health and disease.

Humans

Proteomic and phosphoproteomic profiles of time-dependent dynamic changes in LPS-induced macrophage polarization.

The temporal proteomic and phosphoproteomic reprogramming during early M1 macrophage polarization (0-6&#xa0;h) remains poorly understood. We performed time-resolved proteomic and phosphoproteomic analyses of LPS-stimulated RAW264.7 macrophages at seven time points within 6&#xa0;h. Time-clustering of differentially expressed molecules revealed two patterns: initial change with partial recovery, and sustained dysregulation. Upregulated proteins and phosphorylation sites were enriched in the Rho GTPase signaling pathway, T-cell receptor signaling pathway, NF-&#x3ba;B cascade, osteoclast differentiation pathway, and antiviral immune pathway. Downregulated pathways were associated with cell cycle regulation, chromatin remodeling, RNA metabolism, and mRNA processing, indicating resource reallocation to prioritize acute inflammatory responses. Kinase-substrate network analysis confirmed the mitogen-activated protein kinase (MAPK), cyclin-dependent kinase (CDK), protein kinase B (AKT), and ribosomal S6 kinase (RSK) families as core upstream phosphorylation regulators. Integrated analysis revealed synergistic and antagonistic relationships between proteomic and phosphoproteomic changes. This study provides a temporal molecular atlas of M1 polarization, delineating inflammatory signaling dynamics and offering a basis for therapeutic target discovery in inflammatory diseases. SIGNIFICANCE: Macrophage M1 polarization is a central event in innate immune defense against pathogenic invasion, yet its dysregulation is a pivotal driver of the onset and progression of a broad spectrum of inflammation-associated disorders, spanning autoimmune diseases, infectious conditions and inflammatory bone diseases, making the dissection of its molecular regulatory mechanisms an urgent research priority in immunology and translational medicine. Dynamic molecular events within 0-6&#xa0;h after LPS stimulation are critical for initiating and shaping M1 inflammatory activation, yet systematic time-resolved proteomic and phosphoproteomic profiling remains insufficient.In this study, we comprehensively characterized temporal proteome and phosphoproteome changes at seven consecutive time points during macrophage polarization, clarified two distinct dynamic molecular patterns, identified core signaling pathways and key kinase regulators involved in inflammatory reprogramming, and uncovered the leading role of post-translational phosphorylation modifications in initiating polarization. This work delineates the time-series molecular atlas of early macrophage activation, provides novel insights into the temporal regulatory mechanism of inflammatory signaling networks, and lays a solid experimental foundation for exploring new intervention targets and regulatory nodes in clinical translational research.

Lipopolysaccharides