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.

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.

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.

Objective To investigate the clinical effect of hemorrhoidal artery ligation combined with ultrasonic knife resection,suture,ligature and suspension in the treatment of mixed hemorrhoids with annular prolapse.Methods A retrospective analysis was conducted to select 80 patients with annular prolapse mixed hemorrhoids admitted to the anorectal Department of our hospital from January 2022 to April 2023.According to different treatment plans,they were divided into control group(n=40 cases)who received external stripping and internal ligation combined with tape ligation,and study group(n=40 cases)who received hemorrhoidal artery ligation combined with ultrasonic knife resection,suture,ligation and suspension.The operative effect,operative status,postoperative anal pain,anal edema,stool blood score and quality of life were evaluated.Results The effective rate of the study group was 97.50％,which was higher than that of the control group(77.50％)(P＜0.05).The operation time,intraoperative blood loss,hospital stay and wound healing time of the research group were(25.03±10.00)minutes,(10.00±5.32)ml,(7.25±1.54)days and(12.21±2.00)days respectively.[is better than that of control group(29.85±14.00)minutes,ml(17.85±10.25),(11.87±2.35),(18.89±4.85)days],two groups of comparison,the difference was statistically significant(P＜0.05).The VAS scores of anal pain in the study group on 1 day,3 days and 7 days after the operation were(4.25±0.85)points,(2.89±0.54)points and(2.00±0.30)points,respectively.The scores of perianal edema were(1.87±0.36)points,(1.41±0.30)points,and(1.00±0.20)points,respectively.The hematochezia scores were(1.85±0.21)points,(1.34±0.18)points,and(0.85±0.13)points,respectively.Which were better than that of control group[(7.56±1.10),(6.54±1.03),(4.87±1.00)][(2.40±0.58),(2.03±0.49),(1.87±0.45)][(2.45±0.55),(2.03±0.47),(1.88±0.25)],and the differences were statistically significant(P＜0.05).The recurrence rate was 2.50％in the study group and 17.50％in the control group(P＜0.05).The scores of SF,MH,PF and GH of the Modified Health Survey Summary Form(SF-36)in the study group were(88.54±10.22,87.87±10.58,88.97±10.00,89.95±10.05)higher than those of the control group(67.52±10.00,70.10±11.25,71.10±9.85,70.00±10.00)(P＜0.05).Conclusion Hemorrhoidal artery ligation combined with ultrasonic knife resection,suture,ligature and suspension in the treatment of patients with annular prolapse mixed hemorrhoids has ideal surgical effect and little trauma,which is beneficial to promoting postoperative rehabilitation,alleviating anal pain,improving anal edema and hematostoecium,and improving quality of life.

Objective:To investigate the diagnostic value and influencing factors of endoscopic ultrasonography (EUS) for detecting rectal neuroendocrine neoplasms (R-NENs).Methods:A retrospective case-control study was performed on data of patients with suspected R-NENs by white light endoscopy who underwent endoscopic diagnosis and treatment or surgical operation and obtained pathological diagnosis at the Affiliated Hospital of Qingdao University from March 2016 to June 2023. Clinical data, EUS characteristics and pathological results were statistically analyzed, and the diagnostic accuracy of EUS for R-NENs were obtained by comparing the EUS results with the pathological results. Influencing factors affecting accuracy were analyzed by using the binary logistic regression model.Results:A total of 317 patients were included. The sensitivity, the specificity, the positive predictive value and the negative predictive value of EUS in diagnosing R-NENs were 98.03% (249/254), 34.92% (22/63), 85.86% (249/290) and 81.48% (22/27) respectively. The accuracy was 85.49% (271/317) and the Jorden index was 0.33. Tumor size ≤5 mm ( P=0.002, OR=2.892, 95% CI: 1.464-5.713), absence of surface vascular dilation ( P=0.019, OR=2.613, 95% CI: 1.170-5.837), normal tumor coloration ( P=0.001, OR=3.460, 95% CI: 1.645-7.279) and erythematous surface appearance ( P=0.048, OR=7.242, 95% CI: 1.015-51.680) were independent risk factors affecting the accuracy of R-NENs diagnosis by EUS. Depth assessment accuracy of EUS was 76.77% (195/254), with echo heterogeneity ( P<0.001, OR=4.008, 95% CI: 1.980-8.113) and surface depression ( P=0.035, OR=2.664, 95% CI: 1.073-6.615) emerging as significant factors affecting invasion depth evaluation. Conclusion:EUS demonstrates substantial clinical utility for R-NENs assessment, with diagnostic performance being significantly associated with tumor morphology and sonographic features. Macroscopic characteristics including tumor size, vascular patterns, and chromatic features influence diagnostic accuracy, while echo-textural heterogeneity and surface depression affect invasion depth precision. These findings underscore the clinical relevance of comprehensive EUS evaluation in R-NENs management.

Objective:To analyze the intercomparision result of personal dose monitoring and gross alpha/beta detection capability between the disease control and prevention institutions at provincial, municpal and county levels during 2022-2024, in order to provide a reference for radiation detection capability and policy making of these institutions in China.Methods:Data on personal dose monitoring and gross alpha/beta detection, obtanied from the 2022-2024 radiation detection capability intercomparison between the disease control and prevention institutions at different levels, were recorded. Both the qualification rates (including excellence) and excellence rates of all the institutions at all evels from 2022 to 2024 were analyzed using SPSS 22.0.Results:From 2022 to 2024, the number of participating institutions at all levels showed an overall upward trend, increasing from 262 to 430, with particularly notable growth at the municipal level. In the 2024 gross α/β detection capability intercomparison, the non-qualification rate in municipal-level institutions was significantly higher than in county-level institutions ( χ2=10.53, P < 0.05). The qualification rate (including excellence) of the municipal-level gross alpha/beta detection in 2022 and 2024 were lower than in 2023( χ2=29.93, P < 0.01). Among all regions, the 2024 personal dose monitoring intercomparison result showed that the qualification rate (including excellence) in East China was higher than in Southwest and Northwest China ( χ2=15.62, P <0.01). East China also outperformed Northwest China ( χ2=16.21, P <0.01). In the 2022 gross alpha/beta detection capability intercomparison, the qualification rate (including excellent performance) in East China and South China was higher than in Northwest China ( χ2=23.76, 11.22, P<0.01). Overall, East China showed relatively higher qualification rate in intercomparison result of both personal dose monitoring and radiation detection (including excellence), while Northwest China showed lower qualification rates (including excellence). Conclusions:Although the radiation detection capability of disease control and prevention institutions at all levels has improved in recent years, there are still insufficience of detection capabilities at some municipal- and county-level laboratories and even unbalance between different regionas. Policy support should prioritize underdeveloped areas, such as municipal- and county-level institutions and the Northwest, and enhance the technical proficiency and quality management of laboratory personnel.

Objective To compare the node strength in white matter networks between depressive disorder and bipolar depression patients,analyze structural connectivity impairments across brain regions,and assess their diagnostic utility.Methods This longitudinal study initially enrolled 91 patients with a baseline diagnosis of depressive episode.All subjects underwent diffusion tensor imaging at recruitment and white matter structural weighted networks were constructed using deterministic fiber tracking.After≥9 years of naturalistic follow-up,23 patients who maintained a diagnosis of major depressive disorder(MDD group)and 18 patients who maintained a diagnosis of bipolar disorder(BD group),while 30 demographically matched healthy controls(HC group)were included for comparison.The differences in nodal connection strength within the brain white matter networks among the three groups were compared.Furthermore,the receiver operator characteristic(ROC)curve was utilized to evaluate the diagnostic value of the differential brain regions in distinguishing between MDD and BD.Results In the left anterior cingulate gyrus,the node strength was lower in the BD than in the MDD group(3.89±0.76 vs.4.74±0.60).However,the node strength in the right caudate nucleus(4.94±1.26 vs.3.46±0.99)and right globus pallidus(1.98±0.67 vs.1.25±0.29)was higher in the BD than in the MDD group(P<0.01,FWE-corrected).The combined connectivity strengths of three brain regions—the left anterior cingulate gyrus,right caudate nucleus and right globus pallidus—were used to differentiate between MDD and BD,and an ROC curve was plotted,with an area under the curve(AUC)of 0.95(95%CI:0.91～0.99;P<0.001).The sensitivity and the specificity were 0.89 and 0.87,respectively.Conclusion The differences in node strength between patient groups may serve as a potential neuroimaging biomarker.Integration of node connectivity strengths from these differential brain regions can achieve superior discrimination accuracy.

Objective To carry out a dynamic simulation analysis on the surgical process of the surgical robot for pedicle screw placement so as to enhance the safety of the procedure.Methods Firstly,the process of pedicle screw placement were analyzed to determine the three typical force conditions during pedicle screw track drilling including no-load condition,bone layer switching condition and spine dynamic displacement condition.Secondly,a virtual protype model of the surgical robot for pedicle screw placement was constructed with the automated dynamic analysis of mechanical systems(ADAMS).Finally,the dynamic characteristics of the surgical robot were simulated and analyzed with considerations on the three typical force conditions.Results The driving torque of the robot joints was sensitive to the load applied to the end of the opener mechanism under a wide range of operating conditions.Conclusion The surgical robot meets the requirements for pedicle screw placment,and a new idea is provided for enhancing the accuracy of pedicle screw placement.[Chinese Medical Equipment Journal,2025,46(8):32-37]

Objective:To investigate the differences between high-frequency ultrasound-guided manual detorsion combined with surgery(MD+S)and surgery alone in the treatment of testicular torsion,and to provide some new evidence for the timely diagno-sis and treatment of the disease.Methods:We retrospectively analyzed the clinical data on 134 cases of unilateral testicular torsion within 48 hours treated in our hospital by MD+S or by surgery alone from January 2015 to May 2022.We statistically analyzed the age distribution,and duration and degrees of testicular torsion,followed by comparison between the two groups.Results:In the 134 ca-ses,the median age of onset was 15(13-19)years old,the median onset-to-visit time was 15(8-25)hours,and the median de-gree of torsion was 360°(180°-1080°).Of the total number of patients,21 underwent testicular excision and the other 113 were treated with the testis preserved,with no statistically significant difference in age distribution between the two groups(P＞0.05),and a higher rate of testis resection in those with longer duration and greater angle of torsion(P＜0.05).Totally,33 of the patients were assigned to the MD+S group and 101 to the surgery alone group.According to the actual clinical conditions and excluding those with torsion time longer than 24 hours and torsion angle greater than 720 °,28 of the patients underwent ultrasound-guided MD+S(with 1 case of testis resection,3.6％),and 68 received surgery alone(with 7 cases of testis resection,10.3％).The rate of testis resection was higher in the surgery alone than that in the MD+S group,but with no statistically significant difference between the two groups(P＞0.05),which was considered to be related to the small sample size in this study.Conclusion:The popularization of testicular torsion knowledge can shorten the onset-to-visit time,and reasonable manual detorsion before emergency surgery can reduce the rate of testis resection.