Search Results (9,978)

Background/Objectives: Ulcerative colitis (UC) involves inflammatory response, oxidative stress, changes in metabolites, and the gut microbiota. Jingangteng capsule (JGTC) has been utilized clinically for the treatment of inflammatory diseases for many years. However, the efficacy of JGTC in ameliorating UC remains unclear, and the underlying mechanisms have not yet been elucidated. This study aims to investigate the effect and mechanism of JGTC on UC. Methods: The chemical compositions of JGTC were examined using ultra-high-performance liquid chromatography with quadrupole time-of-fight mass spectrometry. The anti-UC effect of JGTC was evaluated by assessing the disease activity index (DAI), colon length, intestinal barrier recovery, and inflammatory factors in a dextran sulfate sodium (DSS)-induced colitis model. Mechanisms were investigated through fecal 16S rDNA sequencing, metabolomics analysis, enzyme-linked immunosorbent assay (ELISA), Western blotting, and network pharmacology analysis. Results: JGTC significantly reduced the DAI scores in UC mice, increased their body weight and colon length (p < 0.001), repairing damaged intestinal tissue. It decreased the levels of inflammatory cytokines TNF-α, IL-6, IL-1β, and LPS (p < 0.01, p < 0.001), alleviating intestinal inflammation. It also raised the expression of tight junction proteins ZO-1, Claudin-1, and Occludin (p < 0.05, p < 0.001), thereby enhancing intestinal barrier function. Fecal metabolomic analysis revealed that the favorable alterations in amino acid and lipid metabolites were more pronounced. Heat maps showed strong correlations between pharmacological indicators and gut microbiota, as well as between the main differential metabolites and gut microbial communities. UPLC-QTOF-MS detection yielded 33 components of JGTC, and network pharmacology analysis based on these components predicted pathways of action of JGTC in UC. Functional pathways closely associated with significantly differential metabolites and metabolic pathways were also investigated. The PI3K-AKT-mTOR pathway was one of them, which is consistent with the conclusions drawn from network pharmacology. JGTC significantly modulated key factors in this pathway, inhibiting the expression of PI3K, Akt, PDK1, and mTOR, while augmenting the expression of PTEN (p < 0.05, p < 0.01, p < 0.001). It also mitigated the levels of related oxidative stress factors MDA, MPO, and D-LA, and raised SOD levels (p < 0.01, p < 0.001). Conclusions: JGTC improved the excessive inflammatory response in UC by regulating intestinal flora and metabolic disorders, affecting the PI3K-AKT-mTOR signaling pathway, restoring intestinal tissue damage and intestinal barrier, and inhibiting inflammatory and oxidative stress factors. Full article

Controlling radical selectivity within nanoreactors remains a formidable challenge due to the inherent high reactivity and short half-lives of reactive species. Herein, we report a novel size-matched nanoconfinement strategy using a cobalt-nickel-layered double hydroxide (CoNi-LDH) nanoreactor for the highly selective generation and stabilization of sulfate radicals (SO₄^∙−) via piezoelectric activation of peroxymonosulfate (PMS). By precisely tailoring the LDH interlayer spacing to 5.27 Å to match the kinetic diameter of SO₄^∙−, the nanoreactor effectively suppresses non-selective side reactions and radical quenching. Consequently, the CoNi-LDH achieves an unprecedented reaction rate (k_obs = 0.40 min⁻¹) and superior defluorination efficiency (78.9%) for fluoroquinolone antibiotics, significantly outperforming non-size-confined counterparts. Mechanistic insights reveal a synergistic pathway where piezo-generated hot electrons, mediated by Ni sites, accelerate the Co²⁺/Co³⁺ redox cycle to ensure long-term catalytic stability. The robustness of this nanoconfined system is further demonstrated by its exceptional tolerance to complex water matrices and its practical operability in a continuous-flow reactor. This study provides a pioneering approach for spatial radical control at the nanoscale to achieve efficient and targeted environmental remediation. Full article

This study investigates the inhibitory effects of alkali metal chlorides lithium chloride, sodium chloride and potassium chloride (LiCl, NaCl, and KCl) on sodium dodecyl sulfate (SDS) foams, focusing on the transition from interfacial to bulk-driven destabilization mechanisms. The research demonstrates that foam collapse at high electrolyte concentrations is governed by a massive increase in bulk cohesive pressure and specific ion-pairing (SIP), which leads to interfacial dehydration and the mechanical decoupling of the surface from the bulk phase. It is shown that while surface adsorption reaches a plateau, the thermodynamic state of the solvent becomes the primary driver for film drainage. The results indicate that KCl acts as the most potent defoamer due to its optimal matching of water affinities with the surfactant head groups. These findings provide a new theoretical framework for understanding foam stability in concentrated electrolytic environments, emphasizing the role of bulk cohesive stress over traditional interfacial elasticity. Full article

Background/Objectives: Differentiating Cushing’s disease (CD) from adrenocorticotropic hormone (ACTH)-independent Cushing’s syndrome (AICS) remains challenging in patients with equivocal ACTH levels. While dynamic testing is frequently required, baseline hormonal measurements may offer a simpler diagnostic approach. We aim to evaluate the diagnostic value of baseline plasma ACTH, cortisol, and dehydroepiandrosterone sulfate (DHEAS) levels and their derived ratios for differentiation between ACTH-dependent and ACTH-independent Cushing’s syndrome, and to propose a diagnostic algorithm based on these parameters. Methods: This retrospective single-centre study included adult patients with endogenous Cushing’s syndrome aged 18–75 years who were followed at our institution. Patients with ectopic/paraneoplastic Cushing’s syndrome were excluded. The AICS group comprised overt adrenal CS and mild autonomous cortisol secretion cases. Morning baseline plasma ACTH (pg/mL), serum cortisol (µg/dL), and serum DHEAS (µg/dL) levels were measured and ratios calculated: cortisol-to-ACTH ratio (CAR), DHEAS-to-cortisol ratio (DCR), and CAR-to-DHEAS ratio (CAR/D). ROC analysis assessed diagnostic performance with age and sex adjustments. Results: A total of 100 patients were included, comprising 43 patients with CD and 57 with AICS. Plasma ACTH demonstrated high diagnostic accuracy for identifying CD with a cut-off of ≥14.65 pg/mL (sensitivity 100%, specificity 98.25%, AUC 0.998). Serum DHEAS showed strong discriminative power with a cut-off of ≥67.15 µg/dL (sensitivity 88.37%, specificity 91.23%, AUC 0.925), achieving high discriminative power after age–sex adjustment at ≥85.59 µg/dL (sensitivity 100%, specificity 100%, AUC 0.999). CAR showed good performance in identifying CD with a cut-off of ≤0.75 µg/dL per pg/mL (sensitivity 93.02%, specificity 98.25%, AUC 0.980). CAR/D demonstrated high diagnostic power with a cut-off of ≤1.54 (sensitivity 95.35%, specificity 98.25%, AUC 0.974), improving after age–sex adjustment to ≤2.36 (sensitivity 97.87%, specificity 96.23%, AUC 0.992). Conclusions: Baseline plasma ACTH, serum cortisol, and serum DHEAS measurements, along with derived ratios—especially CAR and CAR/D—provide highly accurate differentiation between ACTH-dependent and ACTH-independent Cushing’s syndrome. These widely available measurements may reduce dependence on dynamic testing and improve diagnostic accuracy in patients with equivocal findings. Full article

Aquaculture wastewater (AWW) contains elevated concentrations of nitrogen, phosphorus, and salts, in addition to many micropollutants that may cause environmental pollution if discharged untreated. This study evaluated the potential of the halophilic microalga Dunaliella salina for simultaneous phycoremediation of AWW and production of biodiesel-oriented biomass. Microalgal growth and biochemical composition were compared between AWW and synthetic f/2 medium under controlled laboratory conditions. Results showed that AWW supported efficient microalgal growth, showing a biomass yield of 1.32 g L⁻¹ with a productivity of 0.09 g L⁻¹ d⁻¹, representing 40.88% and 18.42%, respectively, over that obtained in f/2 medium. Cultivation in wastewater also enhanced the volumetric productivity of lipids, proteins, and carbohydrates by 26.20%, 12.46%, and 26.38%, respectively. Significant nutrient removal from AWW was achieved, with high reduction efficiencies for nitrate, nitrite, ammonium, phosphate, and sulfate within the range 76.80–94.10%, along with a decrease in salinity by 29.70%. The lipid fraction was dominated by fatty acid methyl esters suitable for biodiesel production, representing 94.10% of the total lipids. Biodiesel properties met the international fuel standards and were even improved when the microalga was cultivated in AWW. These findings demonstrate that AWW can serve as an effective culture medium for halophilic microalgae, enabling simultaneous wastewater treatment and sustainable biofuel feedstock production. Full article

Compost supplementation is widely used to improve yield and crop consistency in the cultivation of white button mushroom (Agaricus bisporus), yet practical alternatives to conventional protein-rich supplements and rapid candidate-screening approaches are still needed. In this study, plant- and byproduct-based supplements were first compared by sodium dodecyl sulfate–polyacrylamide gel electrophoresis (SDS-PAGE) to obtain qualitative fingerprints of extractable protein fractions, and were then evaluated in Phase III cultivation under both bag-based screening conditions and in a large-scale pull-mat system. Supplements differed notably in protein banding patterns and cultivation performance. In the bag trials, lupin grist and corn pellet produced the largest yield increases relative to the non-supplemented control, whereas in the commercial pull-mat trials lupin grist was the best-performing supplement, reaching 240.77 kg t⁻¹ compost. Under the present conditions, SDS-PAGE was useful as a qualitative screening aid for prioritizing candidates for cultivation trials, but not as a stand-alone predictor of yield. These results identify lupin grist as a practically relevant supplement candidate for commercial A. bisporus production. Full article

The correlation between fouling-driven corrosion and magnetic Barkhausen noise (MBN) in AH36 naval steel was investigated under real Mediterranean seawater conditions over a 12-month immersion period. A custom-designed MBN analyzer was used to monitor four MBN parameters at monthly intervals: RMS amplitude (MBN_RMS), peak amplitude (MBN_peak), peak field position (MBN_{peak pos.}), and full width at half maximum (MBN_FWHM). Complementary characterization included pit morphology analysis, X-ray diffraction (XRD) of corrosion products, and quantitative biofouling community profiling. Three distinct MBN evolution regimes were identified, corresponding to active pitting (T₀–T₃), transitional oxide formation (T₃–T₆), and mature corrosion equilibrium (T₆–T₁₂). Over the full exposure period, MBN_RMS decreased by 50.4% and MBN_{peak pos.} increased by 83.3%, consistent with domain wall pinning at pit stress concentrations and electromagnetic shielding by paramagnetic corrosion product layers (γ-FeOOH, β-FeOOH, α-FeOOH). Pearson correlation analysis revealed near-unity relationships between MBN_RMS and maximum pit depth (r = −0.982, p < 0.01), supporting its potential use as a quantitative non-destructive indicator of corrosion severity under comparable exposure conditions. Biofouling, particularly sulfate-reducing bacteria (SRB)-dominated communities and biogenic iron sulfides (mackinawite, greigite), was identified as a statistically significant secondary correlate of MBN signal intensity (r = −0.944 vs. SRB fraction). A composite diagnostic threshold of (MBN_RMS × MBN_peak)/MBN_FWHM ≈ 0.015 effectively discriminated active pitting from passive rusting. These findings provide a physically grounded framework for multiparametric MBN analysis as a non-destructive condition monitoring tool, with the caveat that the reported correlations are descriptive and require independent validation before deployment in regulatory inspection protocols. Full article

Inflammatory bowel disease (IBD) is a chronic gastrointestinal disorder with a high incidence of anxiety and depression. However, the underlying mechanisms of these symptoms remain to be fully elucidated. This study investigated the effects and mechanisms of a 20% ethanolic extract of Petasites japonicus leaves (EPJ) on dextran sulfate sodium (DSS)-induced colitis and depression-like behaviors. The physiological compounds identified in the EPJ were citric acid, chlorogenic acid, caffeic acid, fukinolic acid, 3,5-dicaffeoylquinic acid, quercetin 3-O-β-D-glucose-6″-acetate, 4,5-dicaffeoylquinic acid, kaempferol-3-O-(6″-acetyl)-β-glucopyranoside, and pedunculoside. EPJ significantly alleviated DSS-induced colitis, as evidenced by improvements in body weight loss (87.41% vs. 76.02% in the DSS group), colon length (5.75 vs. 4.34 cm), intestinal permeability (52.80 vs. 163.01 μg/mL), and myeloperoxidase (MPO) activity (0.24 vs. 0.67 U/mg) (p < 0.05). Histological analysis further confirmed recovery of goblet cells and attenuation of muscle layer thickening. EPJ also reversed DSS-induced gut microbiota dysbiosis and contributed to the restoration of microbial homeostasis. Behavioral assessments showed that EPJ effectively ameliorated depression-like behaviors. EPJ improved antioxidant systems in colon and brain tissues by modulating malondialdehyde (MDA) levels and reduced glutathione (GSH) and superoxide dismutase (SOD) activity. EPJ further upregulated tight junction protein expression and suppressed TLR4/NF-κB inflammatory pathway activation in both colon and brain tissues. Moreover, EPJ modulated serum stress-related hormones, normalized hypothalamic–pituitary–adrenal (HPA) axis dysregulation, regulated the BDNF/TrkB signaling pathway, and modulated tryptophan–kynurenine metabolism. Collectively, these findings suggest that EPJ exerts protective effects against DSS-induced colitis and depression-like behaviors. Full article

Sulfated peptides, such as PSK, PSY, CIF, and RGF, are crucial regulators of plant growth, development, and stress responses, with their activity dependent on post-translational tyrosine sulfation by tyrosylprotein sulfotransferase (TPST). This study explores the evolutionary history and the interaction mechanisms between TPST and sulfated peptides in plants. Systematic analyses of multi-species genomes show that TPST can be traced back to the chlorophyte lineage, whereas PSK, a sulfated peptide, appears to have emerged in gymnosperms. TPST is evolutionarily conserved, typically present in low copy numbers across plant lineages, while its peptide substrates have expanded in angiosperms. In Liriodendron chinense, TPST-sulfated peptide gene promoters are enriched with cis-regulatory elements linked to abscisic acid, gibberellin responsiveness, and anaerobic induction. Synteny analyses revealed collinearity between sulfated peptide genes in L. chinense, Magnolia biondii, Arabidopsis thaliana, and Populus trichocarpa, but not with Oryza sativa. Molecular docking identified key TPST-PSK interaction sites in the sulfotransferase domain, with several critical residues facilitating binding. Transcriptomic and co-expression network analyses revealed that LcTPST was expressed at lower levels than its peptide precursor genes, while LcPSK2 remained highly expressed after the torpedo stage of somatic embryogenesis. Stress conditions significantly increased PSK-associated module connectivity, enriched in transcription factors such as WRKY, bHLH, bZIP, and MADS. This study provides insights into the evolutionary, structural, and regulatory aspects of the TPST-sulfated peptide system in plants. Full article

Growing evidence suggests that chronic kidney disease (CKD) profoundly disrupts gut microbiome and its activity. This study explores how CKD affects colon microbial metabolism, focusing on (1) the representativeness of fecal metabolomics, (2) saccharolytic and proteolytic fermentation metabolites, and (3) the gut microbiome’s role in the partitioning of tryptophan in its metabolic pathways. Tryptophan’s main metabolic pathways include the indolic and the kynurenine pathways, which lead, respectively, to the formation of indoxyl sulfate and kynurenine, both contributing to uremic toxicity. Using a rat model of CKD, we evaluated whether fecal concentrations of microbial compounds, on which most studies are based, reflect the colonic concentrations in contact with the gut mucosa. Thus, we quantified the concentration and content of amino acids, indole, p-cresol, and also short-chain fatty acids, in different colon sections. We demonstrated that CKD promotes increased proteolytic fermentation and an augmented tryptophan partitioning into both the indolic and kynurenine pathways. Depletion of the indolic pathway obtained upon antibiotic treatment leads to a further enhancement of the kynurenine pathway. Full article

Diagnosis of atypical parkinsonian syndromes (APS), including progressive supranuclear palsy (PSP) and multiple system atrophy (MSA), rely on clinical criteria that often result in misclassification or delayed confirmation. Cerebrospinal fluid (CSF) metabolomics offers the potential to identify disease-specific biochemical “fingerprints”. The aim of the study is to identify CSF metabolomic biomarkers that distinguish PSP and MSA from each other and from non-neurodegenerative controls. Targeted mass spectrometry-based metabolomics was performed on CSF samples from 30 patients with MSA, 41 with PSP, and 30 age- and sex-matched non-neurodegenerative controls. Global metabolomic profiles showed no clear group separation. Both PSP and MSA showed elevated gut-derived metabolites p-cresyl sulfate and deoxycholic acid versus controls. In PSP, decreased cortisone and increased hexosylceramide d18:1/24:1 were observed, whereas in MSA, dihydroxyphenylalanine was elevated alongside homoarginine and creatinine. In the direct comparison of APS, levels of α-aminoadipic acid were increased in PSP compared to MSA. Pathway analysis highlighted disrupted glycerophospholipid metabolism in both APS disorders. Distinct metabolite panels mainly combining membrane-associated lipids, gut-derived and neurotransmitter-related metabolites demonstrated high diagnostic accuracy for distinguishing PSP and MSA from control groups (AUC = 0.95 for PSP and AUC = 0.98 for MSA), while a separate panel showed moderate performance in differentiating PSP from MSA (AUC = 0.85). Distinct but partially overlapping CSF metabolomic profiles characterize PSP and MSA. These metabolomic fingerprints highlight gut–brain axis involvement, alterations in cell membrane-related lipid metabolism, and disease-specific changes in neurotransmitter-related metabolites. Further, a panel of these metabolites showed strong potential as diagnostic biomarkers. Full article

Background/Objectives: Fucoidan is a sulfated long-chain polysaccharide found mainly in sea cucumbers and brown algae. Studies suggest that fucoidan may play a role in treating various diseases, including metabolic syndrome and diabetes mellitus. The purpose of the current study was to investigate the effects of fucoidan isolated from brown algae on diabetic hyperglycemia and dyslipidemia. Methods: Two databases, PubMed and Embase, were searched to identify peer-reviewed articles written in English and published up to 30 June 2025. Studies reporting blood glucose and serum/plasma lipid levels of diabetic rodents treated with fucoidan or vehicle were included in the meta-analysis. Results: Forty-seven studies reported blood glucose levels. The pooled effect size for blood glucose levels was −2.26 (95% CI: −2.78 to −1.75), with substantial heterogeneity. Subsequent analyses showed that diabetic dyslipidemia was markedly improved in the fucoidan-treated group compared with the control. Conclusions: Fucoidan treatment could improve hyperglycemia and dyslipidemia in diabetic rodents. Full article

Sustainable groundwater management in hyper-arid regions requires accurate water quality assessments, yet remote desert environments present major challenges due to data scarcity, high sampling costs, and limited laboratory infrastructure. This study proposes a framework integrating the Water Quality Index (WQI) with Inverse Distance Weighting (IDW)-based spatial data augmentation and machine learning classification for groundwater quality assessment in the Tabelbala region, southwestern Algeria. Three classifiers were evaluated, Random Forest (RF), Support Vector Machines (SVMs), and Artificial Neural Networks (ANNs), and trained on an augmented dataset generated from 178 original groundwater samples using IDW interpolation with a sensitivity-optimized 150 m radius, producing 2779 augmented training points. RF achieved the highest predictive accuracy (85.9%), followed by ANNs (84.7%) and SVMs (83.1%), with all models demonstrating excellent discriminative performances (area under the receiver operating characteristic curve > 0.96). Permutation Feature Importance analysis identified total dissolved solids (TDS), sulfates (SO₄²⁻), total hardness (TH), and chlorides (Cl⁻) as the most influential parameters, consistent with World Health Organization (WHO) guidelines. Spatial distribution maps revealed that the majority of groundwater sources exhibited poor to very poor quality, highlighting the urgent need for local water management interventions. The proposed framework offers a replicable decision-support tool for water resource managers in data-scarce arid environments, supporting SDG 6 (Clean Water and Sanitation) and SDG 13 (Climate Action). Full article

The Beni Snassen belt (northeastern Morocco) hosts several Mississippi Valley-type Pb-Zn ± Cu occurrences localized along the Variscan basement/Lower Liassic carbonate interface within the Atlasic foreland system. This study integrates geological observations with organic petrography and C-O-S-Pb isotopic systematics to constrain the origin of mineralizing fluids, metal source, and ore-forming processes within a basin-scale metallogenic system. The host sequence consists of unmetamorphosed, dolomitized Pliensbachian carbonates with marl interbeds and organic-rich black shales. Mineralization is structurally focused along ENE-WSW and E-W faults and occurs as massive calcite-galena veins, “en échelon” tension gashes, vug fillings, and solution-collapse breccias. Ore-stage calcite exhibits restricted isotopic variability (δ¹³C = −4.7 to +1.2‰; δ¹⁸O = 14.9 to 19.7‰), consistent with rock-buffered basinal fluids and extensive fluid–carbonate interaction. Calculated δ¹⁸O_H2O values indicate precipitation from evolved saline brines variably mixed with meteoric waters. Galena δ³⁴S values (−20.9‰ to +10.3‰) reflect thermochemical sulfate reduction (TSR) under fluctuating redox conditions. Pb isotope compositions define a tight linear cluster between upper crust and orogene growth curves, indicating a predominantly upper crustal metal source, notably Triassic dolerite–diabase lithologies, with a possible contribution from organic-rich black shales. High-reflectance pyrobitumen (VR₀ up to 4%) indicates thermal conditions exceeding those predicted by local burial history, supporting long-distance migration of hydrocarbon-bearing metalliferous fluids from overpressured basin compartments, most plausibly the adjacent Neogene Guercif Basin. Fault reactivation during Late Miocene transtension fostered basin-scale fluid focusing and ore deposition. Hence, the Beni Snassen district represents a basin-integrated MVT system involving crustal metal leaching, organic-assisted metal transport, TSR-mediated sulfur reduction, and structurally focused fluid flow. These results refine metallogenic models for the Atlasic belts and highlight the exploration potential of structurally reactivated foreland basins hosting coupled hydrocarbon-hydrothermal systems. Full article