Due to the diverse composition and complex physicochemical and biological characteristics, the pre-treatment of microbiological counting method （preparation of test solution） in microbiological limit test were interfered by many factors, which ultimately affected the repeatability and accuracy of test results. Improving the accuracy of microbiological test is of practical significance to ensure the safety and effectiveness of non-sterile preparations. In this paper, the key factors and optimization methods involved in the pre-treatment of proprietary Chinese medicines were systematically analyzed and summarized.

Subtype classification of age-related macular degeneration (AMD) based on optical coherence tomography (OCT) images serves as an effective auxiliary tool for clinicians in diagnosing disease progression and formulating treatment plans. To improve the classification accuracy of AMD subtypes, this study proposes a keypoint-based, attention-enhanced residual network (KPA-ResNet). The proposed architecture adopts a 50-layer residual network (ResNet-50) as the backbone, preceded by a keypoint localization module based on heatmap regression to outline critical lesion regions. A two-dimensional relative self-attention mechanism is incorporated into convolutional layers to enhance the representation of key lesion areas. Furthermore, the network depth is appropriately increased and an improved residual module, ConvNeXt, is introduced to enable comprehensive extraction of high-dimensional features and enrich the detail of lesion boundary contours, ultimately achieving higher classification accuracy of AMD subtypes. Experimental results demonstrate that KPA-ResNet achieves significant improvements in overall classification accuracy compared with conventional convolutional neural networks. Specifically, for the wet AMD subtypes, the classification accuracies for inactive choroidal neovascularization (CNV) and active CNV reach 92.8% and 95.2%, respectively, representing substantial improvement over ResNet-50. These findings validate the superior performance of KPA-ResNet in AMD subtype classification tasks. This work provides a high-accuracy, generalizable network architecture for OCT-based AMD subtype classification and offers new insights into integrating attention mechanisms with convolutional neural networks in ophthalmic image analysis.
Tomography, Optical Coherence/methods* ; Humans ; Macular Degeneration/diagnostic imaging* ; Neural Networks, Computer

Somatostatin receptor 1 (SSTR1) is a crucial therapeutic target for various neuroendocrine and oncological disorders. Current SSTR1-targeted treatments, including the first-generation somatostatin analog lanreotide (Lan) and the second-generation analog pasireotide (Pas), show promise but encounter challenges related to selectivity and efficacy. This study presents high-resolution cryo-electron microscopy structures of SSTR1 complexed with Lan or Pas, revealing the distinct mechanisms of ligand-binding and activation. These structures illustrate unique conformational changes in the SSTR1 orthosteric pocket induced by each ligand, which are critical for receptor activation and ligand selectivity. Combined with the biochemical assays and molecular dynamics simulations, our results provide a comparative analysis of binding characteristics within the SSTR family, highlighting subtle differences in SSTR1 activation by Lan and Pas. These insights pave the way for designing next-generation therapies with enhanced efficacy and reduced side effects through improved receptor subtype selectivity.

A method capable of retinal vessel segmentation and three-dimensional(3D)reconstruction is proposed for the early diagnosis of diabetic retinopathy.The 3D reconstruction can avoid the misjudgments of blood vessel length,curvature and branch angle after segmentation,which will affect the early diagnosis.IAAnet algorithm for retinal image segmentation combines traditional Unet with Inception V3,atrous spatial pyramid pooling and AttentionGates to reduce information loss and avoid over-fitting,thereby improving the network's ability to extract features.The projection reconstruction method is used to restore the 3D information of blood vessels,and supports the adjustments of brightness and contrast,so that doctors can better observe the real state of blood vessels.The proposed algorithm has an accuracy,recall rate,F1 score,intersection over union and area under ROC curve of 97.68%,96.07%,97.26%,92.79%and 94.00%,respectively.Compared with other networks,IAAnet algorithm exhibits higher segmentation accuracy,and can obtain more vascular information in 3D image after 3D projection reconstruction to assist in the early diagnosis.

Objective:To conduct a visual analysis of the related literature on hydrogel materials that promote wound healing, and to explore the research status, hotspots and future development trends in this field, in order to provide a reference for future research and development.Methods:The Web of Science Core Collection database was searched to obtain relevant literature on the promotion of wound healing by hydrogel materials from January 1, 2010 to October 1, 2023. Bibliometrics method were used to integrate the year, author, publication, number of national and institutional publications, cumulative citation and co-citation frequency and key words of the included literatures. VOSviewer 1.6.19 and CiteSpace 6.2.R4 were used for the literature’s visualization analysis and mapping.Results:A total of 3 863 literatures were included, involving 18 921 authors, and the number of publications in this field showed a significant increasing trend from 2010 to 2023. Zhao YJ, the researcher with the most publications, published 38 articles. There were 557 journals that had collected relevant literatures, and the International Journal of Biological Macromolecules had published the most literature, with a total of 286 publications. A total of 92 countries and 3 307 institutions had conducted research in related fields, with China publishing the most papers. Research institutions mainly come from China and the United States. The literature with the highest cumulative citation frequency was "Alginate: properties and biomedical applications", which reached 4 737 times. The highest cumulative co-citation frequency was the literature published by Qu J, et al in 2018, with a total of 404 times. Keyword co-occurrence, clustering, time line and emergence analysis showed that the early research in this field mainly focused on the process of wound healing and the cellular mechanism at the molecular level, and later gradually focused on the development of precise controlled release function of nanoparticles and antibacterial compounds in hydrogel scaffolds. Conclusion:Research on the application of hydrogel materials in wound healing is attracting increasing international attention. According to the changes of hot words, the future research trend in this field is to develop intelligent hydrogels with regulatory capabilities, wound monitoring, controlled drug delivery and diversified functions.

Objective:To conduct a visual analysis of the related literature on hydrogel materials that promote wound healing, and to explore the research status, hotspots and future development trends in this field, in order to provide a reference for future research and development.Methods:The Web of Science Core Collection database was searched to obtain relevant literature on the promotion of wound healing by hydrogel materials from January 1, 2010 to October 1, 2023. Bibliometrics method were used to integrate the year, author, publication, number of national and institutional publications, cumulative citation and co-citation frequency and key words of the included literatures. VOSviewer 1.6.19 and CiteSpace 6.2.R4 were used for the literature’s visualization analysis and mapping.Results:A total of 3 863 literatures were included, involving 18 921 authors, and the number of publications in this field showed a significant increasing trend from 2010 to 2023. Zhao YJ, the researcher with the most publications, published 38 articles. There were 557 journals that had collected relevant literatures, and the International Journal of Biological Macromolecules had published the most literature, with a total of 286 publications. A total of 92 countries and 3 307 institutions had conducted research in related fields, with China publishing the most papers. Research institutions mainly come from China and the United States. The literature with the highest cumulative citation frequency was "Alginate: properties and biomedical applications", which reached 4 737 times. The highest cumulative co-citation frequency was the literature published by Qu J, et al in 2018, with a total of 404 times. Keyword co-occurrence, clustering, time line and emergence analysis showed that the early research in this field mainly focused on the process of wound healing and the cellular mechanism at the molecular level, and later gradually focused on the development of precise controlled release function of nanoparticles and antibacterial compounds in hydrogel scaffolds. Conclusion:Research on the application of hydrogel materials in wound healing is attracting increasing international attention. According to the changes of hot words, the future research trend in this field is to develop intelligent hydrogels with regulatory capabilities, wound monitoring, controlled drug delivery and diversified functions.

Preschool age(3-6 years old)is a critical period for visual development, and it is crucial to detect and treat visual problems in preschool children as early as possible. Visual acuity charts are important tools for screening visual issues in children. In China, the commonly used charts are the standard logarithmic visual acuity chart and the pediatric optotype chart, while overseas, the Lea, HOTV, and ETDRS visual acuity charts are frequently employed. Numerous studies have reported the measurability, repeatability, and sensitivity of these three charts in diagnosing visual-related problems in children. However, the application of these three charts is relatively limited in China. This article provides a comprehensive review of the design principles, clinical applications, and characteristics of these three visual acuity charts, so as to better understand their applicability and limitations in preschool children, and provide reference for the selection and improvement of vision examination methods in the future.

Drastic surges in intracellular reactive oxygen species (ROS) induce cell apoptosis, while most chemotherapy drugs lead to the accumulation of ROS. Here, we constructed an organic compound, arsenical N-‍(4-(1,3,2-dithiarsinan-2-yl)phenyl)acrylamide (AAZ2), which could prompt the ROS to trigger mitochondrial-dependent apoptosis in gastric cancer (GC). Mechanistically, by targeting pyruvate dehydrogenase kinase 1 (PDK1), AAZ2 caused metabolism alteration and the imbalance of redox homeostasis, followed by the inhibition of phosphoinositide-3-kinase (PI3K)/protein kinase B (AKT)/mammalian target of rapamycin (mTOR) pathway and leading to the activation of B-cell lymphoma 2 (Bcl2)/Bcl2-associated X (Bax)/caspase-9 (Cas9)/Cas3 cascades. Importantly, our in vivo data demonstrated that AAZ2 could inhibit the growth of GC xenograft. Overall, our data suggested that AAZ2 could contribute to metabolic abnormalities, leading to mitochondrial-dependent apoptosis by targeting PDK1 in GC.
Humans ; Signal Transduction ; Stomach Neoplasms/drug therapy* ; Reactive Oxygen Species/metabolism* ; Proto-Oncogene Proteins c-akt/metabolism* ; Apoptosis ; Proto-Oncogene Proteins c-bcl-2 ; Cell Line, Tumor

Objective:To conduct a network meta-analysis comparing the efficacy and safety of various drug injections for treating keloids.Methods:The search terms of "triamcinolone acetonide, 5-fluorouracil, verapamil, botulinum toxin, platelet rich plasma, keloid, scar, drug injection" were retrieved in PubMed, Embase, Web of Science, CNKI and Wanfang database to obtain the publicly published randomized controlled trials comparing single or combined drug injection for treating keloid from January 2010 to February 2023. The outcome index was the effective proportion of treatment, incidence proportion of adverse reactions, and recurrence proportion. NoteExpress, RevMan 5.4, and Stata 16.0 statistical software were utilized to perform a network meta-analysis of eligible studies that met the inclusion and exclusion criteria.Results:A total of 1 679 patients were enrolled in 21 studies that evaluated nine treatment modalities: triamcinolone (TAC), 5-fluorouracil (5-FU), botulinum toxin type A (BTA), platelet-rich plasma (PRP), Verapamil, BTA+ 5-FU, TAC+ 5-FU, TAC+ BTA, and TAC+ PRP. The network diagram revealed that there were 36 pairwise comparisons among the 9 treatment measures, with direct comparisons in 13 of them. The funnel plot demonstrated a symmetrical distribution of effect size points, and both Beggs test and Eggers test yielded P values greater than 0.05, indicating a low likelihood of publication bias. Nine treatment measures formed five closed loops with good consistency. The result of the network meta-analysis indicated that BTA+ 5-FU was more effective than TAC, 5-FU, or PRP alone; TAC+ 5-FU was more effective than TAC, 5-FU, or PRP alone; TAC+ BTA was more effective than TAC, 5-FU, BTA, or PRP alone; Verapamil was more effective than 5-FU and BTA was more effective than 5-FU. All result were found to be statistically significant ( P<0.05). A surface under the cumulative ranking area (SUCRA) map was generated, displaying the efficacy ranking and corresponding SUCRA values for each treatment: BTA+ 5-FU (85.6%)>TAC+ 5-FU (84.8%)>BTA+ TAC (76.7%)>Verapamil (48.9%)>BTA (45.0%)>TAC+ PRP (43.8%)>PRP (32.1%)>TAC (24.7%)>5-FU(8.3%). In terms of recurrence rate, the incidence of recurrence was higher with 5-FU compared to BTA or TAC+ 5-FU, and the incidence of recurrence was higher with TAC compared to TAC+ 5-FU; these differences were statistically significant ( P<0.05). A SUCRA map was generated with the ranking and SUCRA value for each treatment as follows: 5-FU (80.4%)>TAC (73.5%)>Verapamil (65.7%)>TAC+ BTA (52.5%)>PRP (34.8%)>BTA+ 5-FU (33.7%)>TAC+ 5-FU (30.2%)>BTA (29.3%). The qualitative analysis revealed a significantly lower incidence of systemic and local adverse reactions following combined drug injection compared to single drug injection. Conclusion:In the treatment of keloids using drug injection, combination therapy utilizing multiple drugs has demonstrated superior efficacy, lower recurrence rates, and fewer adverse reactions in comparison to single-drug therapy. Notably, the utilization of BAT, 5-FU, and TAC in combination may yield the most favorable outcomes.