ObjectiveTo investigate the mechanisms by which Mahuang Lianqiao Chixiaodoutang （MLC） improves obesity-type polycystic ovary syndrome （PCOS） through the phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway. MethodsThirty-six female Sprague-Dawley （SD） rats were randomly divided into a blank control group （Con） and an obesity-type PCOS model preparation group. The model was induced by gavage with letrozole （1 mg·kg^-1） combined with a high-fat diet （HFD）. After model establishment， the obesity-type PCOS model preparation group was further divided into the model group （Mod， normal saline）， metformin group （Met， 0.3 g·kg^-1）， low-dose MLC group （MLC-L， 4.3 g·kg^-1）， medium-dose MLC group （MLC-M， 8.6 g·kg^-1）， and high-dose MLC group （MLC-H， 17.2 g·kg^-1）. Active components of MLC and targets of obesity-type PCOS were screened from databases， a protein-protein interaction （PPI） network was constructed， and gene ontology（GO）and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis was performed. The gut microbiota structure was analyzed based on 16S rRNA sequencing and correlated with network pharmacology pathways. Body weight and estrous cycle were dynamically monitored. Ovarian morphology was observed by hematoxylin-eosin （HE） staining. Cell apoptosis was detected by terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling （TUNEL）. Enzyme-linked immunosorbent assay （ELISA） was used to detect levels of follicle-stimulating hormone （FSH）， luteinizing hormone （LH）， anti-Müllerian hormone （AMH）， testosterone （T）， and estradiol （E₂）. Western blot was used to detect the protein expression levels of phosphorylated PI3K/PI3K （p-PI3K/PI3K）， phosphorylated Akt/Akt （p-Akt/Akt）， B-cell lymphoma-2 （Bcl-2）， and Bcl-2-associated X protein （Bax）. ResultsNetwork pharmacology screening identified 124 active components of MLC and 408 overlapping targets between the herbal formula and the disease. Core targets such as Akt1 and Bcl-2 were revealed. As indicated by 16S rRNA sequencing， the abundances of Lachnospiraceae， Lachnoclostridium， and Dorea were increased in the MLC groups （P<0.05）， while the abundance of Veillonella was decreased （P<0.05）. KEGG correlation analysis integrating network pharmacology and gut microbiota data showed significant enrichment of the PI3K/Akt signaling pathway. Animal experiments showed that， compared with the Mod group， body weight decreased to normal levels in the Met， MLC-M， and MLC-H groups. The estrous cycle became regular. The number of corpora lutea increased and cystic follicles decreased. Serum levels of T， FSH， and LH/FSH were reduced （P<0.05， P<0.01）， while the E₂ level was increased （P<0.01）. Ovarian cell apoptosis was reduced （P<0.01）， and the protein expression levels of p-PI3K/PI3K， p-Akt/Akt， and Bcl-2 in ovarian tissue were significantly increased， whereas Bax protein expression was significantly decreased （P<0.05， P<0.01）. ConclusionMLC can regulate gut microbiota structure， effectively improve ovarian pathology in rats with obesity-type PCOS， and inhibit ovarian granulosa cell apoptosis. The mechanism may be associated with upregulation of the PI3K/Akt signaling pathway.

ObjectiveTo investigate the mechanisms by which Mahuang Lianqiao Chixiaodoutang （MLC） improves obesity-type polycystic ovary syndrome （PCOS） through the phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway. MethodsThirty-six female Sprague-Dawley （SD） rats were randomly divided into a blank control group （Con） and an obesity-type PCOS model preparation group. The model was induced by gavage with letrozole （1 mg·kg^-1） combined with a high-fat diet （HFD）. After model establishment， the obesity-type PCOS model preparation group was further divided into the model group （Mod， normal saline）， metformin group （Met， 0.3 g·kg^-1）， low-dose MLC group （MLC-L， 4.3 g·kg^-1）， medium-dose MLC group （MLC-M， 8.6 g·kg^-1）， and high-dose MLC group （MLC-H， 17.2 g·kg^-1）. Active components of MLC and targets of obesity-type PCOS were screened from databases， a protein-protein interaction （PPI） network was constructed， and gene ontology（GO）and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis was performed. The gut microbiota structure was analyzed based on 16S rRNA sequencing and correlated with network pharmacology pathways. Body weight and estrous cycle were dynamically monitored. Ovarian morphology was observed by hematoxylin-eosin （HE） staining. Cell apoptosis was detected by terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling （TUNEL）. Enzyme-linked immunosorbent assay （ELISA） was used to detect levels of follicle-stimulating hormone （FSH）， luteinizing hormone （LH）， anti-Müllerian hormone （AMH）， testosterone （T）， and estradiol （E₂）. Western blot was used to detect the protein expression levels of phosphorylated PI3K/PI3K （p-PI3K/PI3K）， phosphorylated Akt/Akt （p-Akt/Akt）， B-cell lymphoma-2 （Bcl-2）， and Bcl-2-associated X protein （Bax）. ResultsNetwork pharmacology screening identified 124 active components of MLC and 408 overlapping targets between the herbal formula and the disease. Core targets such as Akt1 and Bcl-2 were revealed. As indicated by 16S rRNA sequencing， the abundances of Lachnospiraceae， Lachnoclostridium， and Dorea were increased in the MLC groups （P<0.05）， while the abundance of Veillonella was decreased （P<0.05）. KEGG correlation analysis integrating network pharmacology and gut microbiota data showed significant enrichment of the PI3K/Akt signaling pathway. Animal experiments showed that， compared with the Mod group， body weight decreased to normal levels in the Met， MLC-M， and MLC-H groups. The estrous cycle became regular. The number of corpora lutea increased and cystic follicles decreased. Serum levels of T， FSH， and LH/FSH were reduced （P<0.05， P<0.01）， while the E₂ level was increased （P<0.01）. Ovarian cell apoptosis was reduced （P<0.01）， and the protein expression levels of p-PI3K/PI3K， p-Akt/Akt， and Bcl-2 in ovarian tissue were significantly increased， whereas Bax protein expression was significantly decreased （P<0.05， P<0.01）. ConclusionMLC can regulate gut microbiota structure， effectively improve ovarian pathology in rats with obesity-type PCOS， and inhibit ovarian granulosa cell apoptosis. The mechanism may be associated with upregulation of the PI3K/Akt signaling pathway.

Optical microscopy is essential for exploring biological and material structures, with resolution determining the level of observable detail. The advent of super-resolution fluorescence microscopy has broken the diffraction limit, achieving nanoscale resolution. However, traditional assessment methods, such as the Rayleigh criterion and point spread function (PSF) width measurement, rely on empirical judgments and diffraction-limited models, rendering them inadequate for modern super-resolution imaging. This review systematically traces the evolution of resolution assessment methodologies, from classical criteria to advanced strategies tailored for various super-resolution modalities. We first discuss Fourier-based quantitative methods. Fourier ring correlation (FRC) and its 3D counterpart, Fourier shell correlation (FSC), objectively determine resolution by evaluating the statistical correlation of two independent image reconstructions in frequency space. These methods offer robustness against noise and provide a global resolution metric, but they require data independence and are computationally intensive. They have become the prevailing standards in electron and super-resolution microscopy. Subsequently, we examine adaptations for specific super-resolution techniques. For single-molecule localization microscopy (SMLM) techniques such as PALM and STORM, the Fourier image resolution (FIRE) method extends FRC by incorporating a physical model that accounts for localization precision and labeling density. For stimulated emission depletion (STED) microscopy and other nonlinear techniques, assessment strategies differ. While PSF shrinkage measurements using fluorescent beads are useful for system calibration, evaluating the effective resolution directly on biological samples is more practical. This is typically performed via linewidth analysis of known structures (e.g., microtubules) or edge-spread function measurements, capturing the effects of photobleaching and sample-induced aberrations. A major paradigm shift is parameter-free resolution estimation based on decorrelation analysis. This method analyzes the autocorrelation decay of a single image’s Fourier spectrum to identify the cutoff spatial frequency without requiring dual datasets or user-defined thresholds. Its high efficiency and broad applicability have been validated across widefield, confocal, STED, SIM, and SMLM modalities. Optimized rendering strategies for SMLM data further enhance its accuracy, and it is emerging as a tool for real-time optimization of experimental parameters. The review also addresses the “gold standard” of resolution validation using well-defined nanostructures, such as DNA origami and nuclear pore complexes, which provide ground truth for verifying resolution claims and detecting artifacts. In the era of artificial intelligence, deep learning plays a dual role: it powerfully enhances image resolution but also introduces challenges, as models may generate “hallucinations” or false details. This underscores the need for new validation metrics to verify the physical fidelity of AI-generated content. Finally, we outline future directions: developing unified cross-modality standards, enabling real-time dynamic resolution monitoring for live-cell imaging, creating techniques for generating local resolution maps to capture sample heterogeneity, and integrating intelligent error correction to ensure data veracity. By providing a comprehensive overview of resolution assessment progress and challenges, this review aims to equip researchers with the knowledge to select appropriate tools, thereby fostering rigorous quantitative imaging in the life and material sciences.

ObjectiveThis study aims to construct a reconstituted high-density lipoprotein (rHDL) delivery system loaded with kinsenoside (KD@rHDL), and to systematically evaluate its function in enhancing the phagocytosis of amyloid β-protein (Aβ) by microglia and improving the inflammatory state of microglia, as well as to preliminarily explore its potential application value in the treatment of Alzheimer’s disease (AD). MethodsKD@rHDL was prepared by the film hydration method combined with probe sonication and co-incubation. Its morphology was observed by transmission electron microscopy, and the particle size and Zeta potential were measured by dynamic light scattering. The encapsulation efficiency and drug loading were determined by high-performance liquid chromatography. The affinity between KD@rHDL and Aβ was analyzed by surface plasmon resonance (SPR) to assess its feasibility as a medium for Aβ clearance. At the cellular level, after treating mouse microglial cells (BV-2 cells) with KD@rHDL and adding fluorescently labeled Aβ, the phagocytic efficiency of microglia for Aβ was detected by confocal microscopy. Meanwhile, the CCK-8 method was used to evaluate the effect of KD@rHDL on cell viability to determine its safety. The trans-barrier transport ability of KD@rHDL was detected by Transwell assay. The expression levels of NLRP3 inflammasome and downstream inflammatory factor IL-1β in LPS-induced microglia were detected by Western blot to evaluate the regulatory effect of KD@rHDL on the inflammatory state of cells. ResultsCharacterization results showed that the successfully prepared KD@rHDL presented a typical discoid structure under transmission electron microscopy, with a uniform particle size distribution, an average particle size of approximately (14.4±0.24) nm, and a suitable negative Zeta potential, demonstrating good colloidal stability. The drug content determination results indicated that the encapsulation efficiency of KD@rHDL for kinsenoside was (42.24±1.30)%, and the drug loading was (6.03±0.19)%, indicating a good drug loading capacity. The CCK-8 assay results showed that in the set concentration range, the survival rates of BV2 and HT22 cells in the KD@rHDL treatment group were all above 90%, with no significant difference from the control group, indicating good cell safety of the formulation. The results of the Aβ phagocytosis experiment indicated that, compared with the Aβ oligomers (Aβo) group alone, the fluorescence signal intensity within microglia in the KD@rHDL treatment group was significantly enhanced, and a large amount of fluorescence-labeled Aβ was observed to accumulate intracellularly under a fluorescence microscope. The SPR assay results showed that rHDL had a strong affinity for Aβ, with an affinity constant reaching the nanomolar level. Transwell assay results indicated that KD@rHDL could effectively cross the bEnd.3 cell monolayer barrier and be taken up by BV2 and HT22 cells. Western blot assay results showed that high-dose KD@rHDL treatment could significantly reduce the expression level of NLRP3 protein in LPS-induced microglia and simultaneously down-regulate the maturation and secretion of IL-1β, indicating that KD@rHDL can effectively inhibit the activation of the NLRP3 inflammasome pathway and improve the neuroinflammatory state mediated by microglia. ConclusionThis study successfully constructed a reconstituted high-density lipoprotein delivery system loaded with kinsenoside (KD@rHDL). This nano-delivery system not only significantly enhances the phagocytic clearance ability of microglia towards Aβ, but also effectively inhibits the NLRP3/IL-1β-mediated inflammatory pathway, improving the inflammatory state of microglia. The above results indicate that KD@rHDL has a synergistic effect in promoting Aβ clearance and alleviating neuroinflammation, demonstrating potential therapeutic value for AD and providing new ideas and experimental basis for the development of subsequent AD treatment strategies.

Objective To investigate the role of SLC7A11-mediated disulfidptosis in regulating the functional heterogeneity of cancer-associated fibroblasts (CAFs) and remodeling the immune microenvironment in ovarian cancer (OC). Methods Utilizing an integrative multi-omics framework, we synchronized transcriptomic data from TCGA and GEO with high-resolution single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics. We employed CellChat interactome algorithms to map disulfidptosis-related gene expression profiles across various cellular hierarchies. The mechanistic link between SLC7A11 and SPP1 was further examined via qPCR assays under glucose-deprived, disulfidptosis-inducing conditions. Results SLC7A11 was identified as a crucial regulator of disulfidptosis, exhibiting significant overexpression in OC tissues. Elevated SLC7A11 levels were positively correlated with advanced FIGO stages, increased tumor burden, and resistance to immune checkpoint blockade. scRNA-seq profiling identified a distinct CAF lineage (CAF1/CAF5) characterized by a robust disulfidptosis signature. This subpopulation was associated with epithelial-mesenchymal transition and an immunosuppressive niche via the SPP1-CD44 signaling axis. In situ spatial mapping suggested the localized amplification of SPP1-mediated signaling at the CAF-tumor cell interface, forming high-intensity interactomes with ITGAV, ITGB1, and CD44. Metabolic stress induced by glucose starvation significantly altered the transcriptional profiles of SLC7A11 and SPP1. Notably, the glucose starvation-induced upregulation of NRF2 mRNA in fibroblasts was effectively mitigated by NRF2 knockdown or treatment with the disulfidptosis inhibitor 2-mercaptoethanol. Conclusion SLC7A11-mediated disulfidptosis may activates a subset of CAFs, which may contribute to remodeling the tumor microenvironment and suppressing anti-tumor immunity through the secretion of SPP1.

AIM: To compare the efficacy of different intraocular lens(IOL)fixation in aphakic patients lacking capsule support.METHODS:Retrospective study. Totally 120 cases(120 eyes)of aphakia patients who lacked capsule support admitted to our hospital from June 2019 to June 2024 were selected as the study subjects and randomly assigned into group A and group B, with 60 cases in each group. Group A underwent subcapsular IOL deep scleral fixation, while group B underwent IOL suture suspension fixation in the ciliary groove. The surgery time, uncorrected visual acuity(UCVA), best corrected visual acuity(BCVA), intraocular pressure(IOP), corneal endothelial cell density(CECD), corneal endothelial cell loss rate, and postoperative complications were compared between the two groups before and at 1, 3, 6 mo after surgery.RESULTS:The operation time of the group A was lower than that of the group B(24.69±2.69 vs. 32.75±3.75 min, t=11.937, P<0.05). The UCVA and BCVA in both groups were better than those before operation, and the group A was better than the group B(all P<0.05). The loss rates of corneal endothelial cells in the group A were lower than those in the group B at 1, 3 and 6 mo after surgery, the IOP in the group A was lower than that in the group B at 1 mo after surgery, and the CECD in the group A was higher than the group B(all P<0.05). The 3 eyes(5.0%)of the postoperative IOL ectopic in the group A were less than 11 eyes in the group B(18.3%, P=0.023).CONCLUSION:Subcapsular IOL deep scleral fixation has prominent curative effects on aphakic patients who lack capsule support. It helps improve vision, with less operation time, and fewer postoperative complications.

The Golgi apparatus (GA) is a key membranous organelle in eukaryotic cells, acting as a central component of the endomembrane system. It plays an irreplaceable role in the processing, sorting, trafficking, and modification of proteins and lipids. Under normal conditions, the GA cooperates with other organelles, including the endoplasmic reticulum (ER), lysosomes, mitochondria, and others, to achieve the precise processing and targeted transport of nearly one-third of intracellular proteins, thereby ensuring normal cellular physiological functions and adaptability to environmental changes. This function relies on Golgi protein quality control (PQC) mechanisms, which recognize and handle misfolded or aberrantly modified proteins by retrograde transport to the ER, proteasomal degradation, or lysosomal clearance, thus preventing the accumulation of toxic proteins. In addition, Golgi-specific autophagy (Golgiphagy), as a selective autophagy mechanism, is also crucial for removing damaged or excess Golgi components and maintaining its structural and functional homeostasis. Under pathological conditions such as oxidative stress and infection, the Golgi apparatus suffers damage and stress, and its homeostatic regulatory network may be disrupted, leading to the accumulation of misfolded proteins, membrane disorganization, and trafficking dysfunction. When the capacity and function of the Golgi fail to meet cellular demands, cells activate a series of adaptive signaling pathways to alleviate Golgi stress and enhance Golgi function. This process reflects the dynamic regulation of Golgi capacity to meet physiological needs. To date, 7 signaling pathways related to the Golgi stress response have been identified in mammalian cells. Although these pathways have different mechanisms, they all help restore Golgi homeostasis and function and are vital for maintaining overall cellular homeostasis. It is noteworthy that the regulation of Golgi homeostasis is closely related to multiple programmed cell death pathways, including apoptosis, ferroptosis, and pyroptosis. Once Golgi function is disrupted, these signaling pathways may induce cell death, ultimately participating in the occurrence and progression of diseases. Studies have shown that Golgi homeostatic imbalance plays an important pathological role in various major diseases. For example, in Alzheimer’s disease (AD) and Parkinson’s disease (PD), Golgi fragmentation and dysfunction aggravate the abnormal processing of amyloid β-protein (Aβ) and Tau protein, promoting neuronal loss and advancing neurodegenerative processes. In cancer, Golgi homeostatic imbalance is closely associated with increased genomic instability, enhanced tumor cell proliferation, migration, invasion, and increased resistance to cell death, which are important factors in tumor initiation and progression. In infectious diseases, pathogens such as viruses and bacteria hijack the Golgi trafficking system to promote their replication while inducing host defensive cell death responses. This process is also a key mechanism in host-pathogen interactions. This review focuses on the role of the Golgi apparatus in cell death and major diseases, systematically summarizing the Golgi stress response, regulatory mechanisms, and the role of Golgi-specific autophagy in maintaining homeostasis. It emphasizes the signaling regulatory role of the Golgi apparatus in apoptosis, ferroptosis, and pyroptosis. By integrating the latest research progress, it further clarifies the pathological significance of Golgi homeostatic disruption in neurodegenerative diseases, cancer, and infectious diseases, and reveals its potential mechanisms in cellular signal regulation.

T7 RNA polymerase (T7 RNAP) is one of the simplest known RNA polymerases. Its unique structural features make it a critical model for studying the mechanisms of RNA synthesis. This review systematically examines the static crystal structure of T7 RNAP, beginning with an in-depth examination of its characteristic “thumb”, “palm”, and “finger” domains, which form the classic “right-hand-like” architecture. By detailing these structural elements, this review establishes a foundation for understanding the overall organization of T7 RNAP. This review systematically maps the functional roles of secondary structural elements and their subdomains in transcriptional catalysis, progressively elucidating the fundamental relationships between structure and function. Further, the intrinsic flexibility of T7 RNAP and its applications in research are also discussed. Additionally, the review presents the structural diagrams of the enzyme at different stages of the transcription process, and through these diagrams, it provides a detailed description of the complete transcription process of T7 RNAP. By integrating structural dynamics and kinetics analyses, the review constructs a comprehensive framework that bridges static structure to dynamic processes. Despite its advantages, T7 RNAP has a notable limitation: it generates double-stranded RNA (dsRNA) as a byproduct. The presence of dsRNA not only compromises the purity of mRNA products but also elicits nonspecific immune responses, which pose significant challenges for biotechnological and therapeutic applications. The review provides a detailed exploration of the mechanisms underlying dsRNA formation during T7 RNAP catalysis, reviews current strategies to mitigate this issue, and highlights recent progress in the field. A key focus is the semi-rational design of T7 RNAP mutants engineered to minimize dsRNA generation and enhance catalytic performance. Beyond its role in transcription, T7 RNAP exhibits rapid development and extensive application in fields, including gene editing, biosensing, and mRNA vaccines. This review systematically examines the structure-function relationships of T7 RNAP, elucidates the mechanisms of dsRNA formation, and discusses engineering strategies to optimize its performance. It further explores the engineering optimization and functional expansion of T7 RNAP. Furthermore, this review also addresses the pressing issues that currently need resolution, discusses the major challenges in the practical application of T7 RNAP, and provides an outlook on potential future research directions. In summary, this review provides a comprehensive analysis of T7 RNAP, ranging from its structural architecture to cutting-edge applications. We systematically examine: (1) the characteristic right-hand domains (thumb, palm, fingers) that define its minimalistic structure; (2) the structure-function relationships underlying transcriptional catalysis; and (3) the dynamic transitions during the complete transcription cycle. While highlighting T7 RNAP’s versatility in gene editing, biosensing, and mRNA vaccine production, we critically address its major limitation—dsRNA byproduct formation—and evaluate engineering solutions including semi-rationally designed mutants. By synthesizing current knowledge and identifying key challenges, this work aims to provide novel insights for the development and application of T7 RNAP and to foster further thought and progress in related fields.

BACKGROUND: Effective interventions during the coronavirus disease 2019 (COVID-19) pandemic require an understanding of patients' knowledge and perceptions that influence their behaviour. Our study assessed knowledge of COVID-19 among kidney transplant recipients and donors, hitherto unevaluated. METHODS: We conducted a cross-sectional survey among 325 kidney transplant recipients and 172 donors between 1 May 2020 and 30 June 2020. The survey questionnaire assessed knowledge levels of COVID-19, sociodemographic data, health status, psychosocial impact of COVID-19 and precautionary behaviours during the pandemic. RESULTS: The mean COVID-19 knowledge score of the study population was 7.5 (standard deviation: 2.2) out of 10. The mean score was significantly higher among kidney recipients compared to kidney donors (7.9 [1.9] vs. 6.7 [2.6]; P <0.001). Younger age (21-49 vs. ≥50 years) and higher education (diploma and higher vs. secondary and lower) were associated with significantly higher knowledge scores in donors, but not among recipients ( P -interactions ≤0.01). In both kidney recipients and donors, financial concerns and/or social isolation were associated with lower knowledge levels. CONCLUSIONS Concerted efforts are needed to improve COVID-19 knowledge in kidney transplant recipients and donors, particularly older donors, donors with lower education and patients with financial concerns or feelings of social isolation. Intensive patient education may mitigate the impact of education levels on COVID-19 knowledge levels.
Humans ; COVID-19/epidemiology* ; Kidney Transplantation ; Middle Aged ; Singapore/epidemiology* ; Male ; Female ; Adult ; Cross-Sectional Studies ; Health Knowledge, Attitudes, Practice ; Transplant Recipients/psychology* ; Surveys and Questionnaires ; Tissue Donors/psychology* ; SARS-CoV-2 ; Young Adult ; Aged ; Pandemics