Journal of advanced research最新文献

Introduction: The widespread presence of antibiotic pollutants, such as tetracycline hydrochloride (TCH), causes significant environmental and public health concerns. Biochar-based photocatalysts derived from renewable biomass have attracted increasing attention due to their low cost, structural tunability, and environmental sustainability. However, their photocatalytic performance is often limited by poor charge separation and a lack of active sites.

Objectives: This study aims to construct a visible-light-responsive Cu/Fe co-doped biochar composite using Sphagnum palustre as a biomass precursor for the synergistic adsorption and photocatalytic removal of TCH from aqueous environments.

Methods: The Cu/Fe co-doped photocatalyst (CFO/S) was synthesized via a hydrothermal method by integrating Cu-Fe oxides with Sphagnum-derived biochar. The composite was comprehensively characterized, and its visible-light performance was evaluated. The photocatalytic mechanism was elucidated through radical trapping experiments and DFT+U simulations.

Results: The CFO/S-10 composite achieved a TCH removal efficiency of 94.56% within 60 min under visible-light irradiation. Adsorption was identified as the primary removal mechanism, while photocatalysis contributed to the degradation of adsorbed molecules. A layered FeO/CuFe₂O₄/S structure promoted charge separation and intermediate desorption. Multiple degradation products were detected, involving demethylation, hydroxylation, and ring-opening reactions.

Conclusion: The Cu/Fe co-doped biochar composite exhibited excellent removal performance through a synergistic adsorption-photocatalysis mechanism. Photogenerated electrons were the dominant reactive species, supported by •OH, •O₂^-, and h⁺. An S-scheme charge transfer mechanism was proposed to explain the enhanced redox capability. These findings demonstrate the potential of CFO/S as a promising candidate for visible-light-driven removal of antibiotic contaminants in water.

Background: Edible and medicinal mushroom polysaccharides (EMMPs) display wide-ranging bioactivities, yet progress has been limited by siloed workflows. Extraction, structural analysis, and biological evaluation are often conducted independently, obscuring how processing parameters shape polymer architecture and, consequently, biological function. This fragmentation contributes to inconsistent outcomes and poor reproducibility across studies.

Aim of the review: To bridge these gaps, this review (2020-2025) applies an extraction-driven structure-activity relationship (ESAR) framework that directly links processing conditions to structural features, mechanisms, and functional outcomes. It prioritizes well-characterized β-glucans where defined structural features allow direct mapping from extraction parameters to molecular architecture and biological effects. The objective is to shift the field from "finding an active extract" to engineering process-defined polymer architectures that deliver targeted mechanisms and reproducible, application-specific outcomes. Key scientific concepts of the review: Within ESAR, extraction variables such as solvent system, temperature, pH, and enzymatic or physical assistance influence branching patterns, molecular-weight distributions, and conformational features such as triple-helix stability. These structural attributes in turn influence bioactivity by governing receptor engagement and activation pathways. Comparative analyses across representative β-glucans reveal that differences in molecular weight ranges, branching patterns, and helix/coil conformations account for the distinct potencies observed across studies. It also clarifies common sources of variability related to strain differences, cultivation substrate, processing severity, and analytical methods. This review introduces ESAR as a unifying framework that converts fragmented polysaccharide studies into predictive design principles for real-world translation. It demonstrates how extraction-defined molecular engineering can drive reproducible development of functional foods, nutraceuticals, and adjuvant therapeutics. Such reproducibility is essential for translating laboratory findings into reliable industrial and clinical applications.

Introduction: Idiopathic pulmonary fibrosis (IPF) is a fatal interstitial lung disease with limited therapeutic options, thus necessitating novel strategies targeting upstream fibrogenic drivers; the exact impact of apolipoprotein E (apoE) on IPF and its therapeutic potential remain unexplored.

Objectives: This study aims to identify novel therapeutic targets for pulmonary fibrosis and elucidate the mechanism by which plasma apoE alleviates this condition.

Methods: We conducted an integrated meta-analysis of seven plasma cohorts and two-sample Mendelian randomization to assess apoE's association with IPF risk. CRISPR-engineered APOE-deficient canines and Apoe^‒/‒ mice were studied for pulmonary fibrosis. Mechanistic studies employed single-cell transcriptomics to identify fibroblast-enriched apoE receptors and SPIDER technology coupled with surface plasmon resonance (SPR) to characterize novel apoE interactors. Therapeutic potential was tested using the LXR agonist RGX-104 in murine models and human precision-cut lung slices.

Results: Plasma apoE was identified as a robust protective factor against IPF, with genetically elevated levels correlating with improved pulmonary function, and its deficiency in plasma showed potential diagnostic value for IPF. APOE-deficient canines developed spontaneous pulmonary fibrosis, and Apoe^‒/‒ mice exhibited exacerbated bleomycin-induced pulmonary fibrosis, reversible by tail vein injection of recombinant apoE protein. Fibroblast-specific enrichment of LRP1 and identification of PLAU as a high-affinity apoE interactor were observed. Mechanistically, apoE suppressed TGF-β/Smad-driven fibroblast activation via dual LRP1/PLAU co-engagement, attenuating α-SMA, collagen 1, and fibronectin. Pharmacological LXR activation (RGX-104) rescued apoE expression, reduced collagen deposition in vivo, and mitigated fibrosis in human precision-cut lung slices.

Conclusions: Plasma apoE is a causal guardian against pulmonary fibrogenesis, inhibiting TGF-β/Smad signaling through dual receptor (LRP1/PLAU) engagement. Cross-species validation and mechanistic elucidation position RGX-104, a small-molecule LXR agonist, as a potential therapeutic candidate for clinical translation in IPF.

Introduction: The eukaryotic translation initiation factor 4E (eIF4E) has emerged as a compelling target for cancer therapeutics due to its pivotal role in regulating cap-dependent translation of oncogenic mRNAs and its implication in various malignancies. However, the clinical potential of current eIF4E inhibitors is limited by suboptimal potency and binding affinity.

Objectives: Based on an analysis of the eIF4E/eIF4G binding pocket and structural features of existing inhibitors, 75 compounds were designed, synthesized, and screened. The binding affinity, molecular mechanism and antitumor activity of the most potent compound b14 were evaluated in vitro and in vivo.

Methods: Through structure-activity relationship analysis, 75 thiazole derivatives were synthesized and screened for binding affinity using fluorescence polarization (FP) and surface plasmon resonance (SPR). Hit compounds were evaluated for antitumor activity using the SRB assay. The most promising compound, b14, was further investigated for its antitumor activity and molecular mechanism via Western blotting (WB), quantitative real-time PCR (qRT-PCR), immunofluorescence, co-immunoprecipitation, and proteomics. The in vivo antitumor activity and safety of b14 were assessed using HeLa xenograft models and acute/subacute toxicity models, respectively.

Results: Compound b14 emerged as a lead molecule, exhibiting a 10-fold higher binding affinity to eIF4E than the reference inhibitor 4EGI-1. Mechanistic studies revealed that b14 disrupts eIF4F complex formation by inhibiting AKT-mTOR-4EBP1 and ERK-eIF4E phosphorylation, subsequently triggering mitochondrial dysfunction and apoptosis in tumor cells, with relatively low IC₅₀ values. Moreover, proteomics analysis further demonstrated that b14 suppresses oncogenic lipogenesis by downregulating key enzymes involved in lipid metabolism. Finally, oral administration of b14 significantly inhibits HeLa xenograft growth in vivo without measurable side effects.

Conclusions: Together, our results demonstrate that b14 is an excellent novel small-molecule inhibitor of eIF4E for future cancer therapy.

Aims: Cardiac muscle wasting is a significant complication observed in lung cancer patients receiving radiotherapy. Radiotherapy, a commonly used anticancer treatment, is known to cause cardiovascular complications; however, the mechanisms linking tumor irradiation to cardiac wasting remain poorly understood.

Methods: Lewis lung carcinoma (LLC) and CT26 tumor-bearing mice received localized tumor irradiation. Conditioned medium or EVs from irradiated tumor cells were collected and used to treat cardiomyocytes. Autophagy, protein synthesis, and atrophy were assessed. The roles of tumor Thbs1 and cardiac PERK signaling were determined via shRNA-mediated knockdown and PERK mutation in vitro and in vivo.

Results: We demonstrated that localized tumor irradiation induces cardiac muscle wasting in mice, which is associated with PERK-eIF2α-Atf4 pathway activation and increased Thbs1 protein-but not mRNA-levels in cardiomyocytes. Mechanistically, Thbs1 is delivered via extracellular vesicles (EVs) derived from irradiated tumors. Tumor-derived Thbs1⁺ EVs are necessary and sufficient to trigger autophagy, suppress protein synthesis, and cause atrophy in cardiomyocytes, which is dependent on the Thbs1-PERK interaction and downstream signaling.

Conclusion: These results indicate that radiotherapy promotes the release of Thbs1⁺ EVs, which drive cardiac muscle wasting via PERK-eIF2α-Atf4 signaling, revealing a novel mechanism underlying cancer-associated cardiac damage.

Introduction: Disruption of the circadian rhythm (CR) and autophagy in intervertebral discs contributes to intervertebral disc degeneration (IDD) progression. However, the circadian regulation of autophagy requires further investigation.

Objectives: We observed the expression of circadian proteins and autophagic markers of nucleus pulposus (NP) cells followed a diurnal rhythmic pattern in vivo and in vitro.

Methods: NP tissues were collected from light/dark cycle-shifted rats and IDD patients of varying severity. CR and ECM-related proteins were analyzed by immunohistochemistry and western blotting. Primary rat NP cells were treated with hypoxia or CoCl₂, followed by western blotting for CR proteins, HIF-1α, and autophagy markers. siRNA knockdown of PER2 or HIF-1α was performed to assess their roles in regulating autophagy, ECM, and CR-associated proteins.

Results: The silencing of clock gene PER2 disrupted the rhythmic expression of autophagic markers, by contrast PER2 overexpression inhibited mTOR pathway and enhanced autophagic levels. Co-IP analysis demonstrated the PER2-mTOR interaction, linking CR and autophagy rhythm. The inflammatory stimulator dampened the CR and autophagy rhythm, however intermittent hypoxia and cobalt chloride (CoCl₂) re-synchronized the rhythm. Mechanistically, HIF-1α-mediated regulation of PER2 by hypoxia was involved in the re-synchronization, which was further demonstrated by the loss of CR and autophagy rhythm after silencing of PER2 or HIF-1α under hypoxia. Furthermore, the rhythm of oxygen level and HIF-1α was proved in living healthy NP tissue, confirming the hypoxia as a Zeitgeber. CR disruption and autophagy dysfunction led to catabolism of extracellular matrix (ECM), but the hypoxia, CoCl₂ and autophagic stimulator could promote the rebalance of ECM metabolism.

Conclusion: Our study demonstrates that hypoxia maintains the intrinsic CR and autophagy rhythm through the HIF-1α/PER2/mTOR pathway to prevent IDD.

Artificial intelligence (AI) has played an excellent supporting role in novel drug discovery and development. This study introduces a reinforcement learning (RL) model based on the Soft Actor-Critic (SAC) algorithm for AI-driven de novo molecular generation targeting tyrosinase. The model facilitates forward molecular generation design by integrating a chemical reaction template and a molecular building block library, concurrently performing molecular docking and assessing drug-likeness. Through sequential decision-making, signal feedback, and a dynamic learning process, the model generates molecules exhibiting potent target affinity, optimal drug-like properties, and good synthetic feasibility. The AI-generated molecules undergo rigorous manual screening, synthesis, and biological evaluation, culminating in the identification of a prioritized lead compound V. Subsequent structural optimization of compound V reveals a series of compounds with significantly enhanced activity, shifting inhibitory potency from the micromolar to the nanomolar range. The optimized compound, V-24, demonstrates low cytotoxicity and significant anti-melanogenic activity both in cell melanogenesis inhibition and zebrafish anti-pigmentation models. Notably, it effectively reduces melanin content in an ultraviolet light-induced human 3D skin pigmentation model, exhibiting the potential to serve as a promising tyrosinase inhibitor for the treatment of skin pigmentation. More importantly, this "AI de novo Molecular Generation + Expert-Guided Structural Optimization" work demonstrates that integrating an AI algorithm with traditional medicinal chemistry experience is a novel approach and efficiency-redefined strategy for drug discovery.

Introduction: Wound healing impairment is highly prevalent in diabetes and frequently progresses to serious complications, including refractory ulcers and necessitated amputations. RNA sequencing in methylglyoxal (MGO)-injured HaCaT cells implicated fructose-1,6-bisphosphatase 1 (FBP1) in suppressing keratinocyte proliferation and migration, identifying it as a potential therapeutic target.

Objectives: This study aimed to validate FBP1 as a therapeutic target for diabetic wounds and evaluate asiatic acid (AA) and its novel hydrogen sulfide (H₂S)-donor derivatives, designed to enhance efficacy, as FBP1-targeted interventions.

Methods: Target discovery was performed via transcriptomics in MGO-injured HaCaT cells, identifying FBP1 as a key regulator. Virtual screening of compound libraries was combined with experimental screening to discover AA as a potent FBP1 inhibitor. Based on AA's structure, novel H₂S-donor derivatives were rationally designed and synthesized to enhance therapeutic properties. A topical AA4 gel was formulated and tested for its therapeutic impact on diabetic wound repair in mouse models.

Results: AA was identified as a potent FBP1 inhibitor (IC₅₀ = 2.5 μM). AA4, a synthesized H₂S-donor derivative, exhibited dual mechanisms: direct FBP1 enzymatic inhibition and H₂S-mediated FBP1 downregulation. This synergistically restored proliferation pathways (AKT/mTOR/HIF-1α/uPAR) and reduced apoptosis (Bcl-2/Bax/Caspase-3). Topical AA4 gel markedly enhanced wound closure rates in diabetic mice, primarily through promoting epidermal regeneration and collagen deposition.

Conclusion: This study validates FBP1 targeting as a feasible strategy to address diabetic wound healing. It establishes AA-H₂S donor derivatives, particularly AA4 acting via dual FBP1 targeting, as an encouraging precision therapy for diabetic wound healing.

Introduction: Berberine (BBR), the predominant isoquinoline alkaloid in Coptidis Rhizoma, exhibits remarkable anti- colorectal cancer (CRC) activity. However, whether BBR triggers CRC cell death through ferroptosis-associated disruption of energy metabolism remains to be elucidated.

Objective: To investigate if BBR induces mitochondrial energy metabolism disorder in CRC cells by regulating the ferroptosis signaling pathway.

Methods: BBR's effects on malignant phenotypes were evaluated in vitro (human cell line HCT116, murine cell line CT26 cells at 10, 20, 40 μM) and in vivo (80 mg/kg). Target engagement and mechanistic pathways were interrogated through RNA-sequence combined with convolutional neural network-based pathway prediction, corroborated by surface plasmon resonance, cellular thermal shift assay. Downstream validation mainly included quantification of Gli1, STAT3, GPX4, SLC7A11, and FTH1 expression via RT-qPCR, Western blot, immunofluorescence, and other molecular expression and functional confirmation experiments.

Results: BBR inhibited CRC cell proliferation with IC₅₀ value for HCT116 cells for 48 h at 19.86 ± 2.31 μM, and for CT26 cells for 48 h at 21.35 ± 2.63 μM. Concurrently, it elevated ferroptosis markers such as malondialdehyde, lactate dehydrogenase, Fe²⁺, and 4-hydroxynonenal, while suppressing ATP levels, superoxide dismutase activity, and energy metabolism-related enzymes. Graph convolutional network-based drug "on-target" pathway algorithm predicted Gli1 as top-9 target, and surface plasmon resonance confirmed direct BBR-Gli1 binding with KD value at 0.652 μM, cellular stability thermal assessment showed BBR stabilized Gli1 with thermal shift with ΔT = 2.3 °C. Mechanistically, BBR exerted its anti-CRC effects by inhibiting the Gli1/STAT3-ferroptosis negative regulation (Gli1/STAT3-FNR) axis, a novel regulatory pathway. Notably, BBR exhibited no significant organ or hematological toxicity in vivo at the experimental doses.

Conclusion: BBR triggers ferroptosis-mediated energy metabolism disorder by inhibiting Gli1/STAT3-FNR axis. This work provides a mechanistic support for BBR anti-CRC indications, and suggests an encouraging approach for treating CRC.