Objective To observe the clinical effect of Jiu-Wei-Yong-An granule combined with cetirizine in the treatment of damp-heat accumulation syndrome of eczema. Methods 108 eczema patients with syndrome of damp-heat accumulated in the skin, treated in the Department of Traditional Chinese Surgery in the First Affiliated Hospital of Naval Medical University from December 2021 to March 2023, were selected. They were randomly divided into an observation group and a control group, 54 cases in each. Both groups took cetirizine tablets orally for basic treatment. The observation group was given Jiu-Wei-Yong-An granules, and the control group was given placebos of the same. The clinical efficacy before and after treatment in the two groups was observed and compared, including TCM syndrome scores, eczema area and severity index （EASI）, visual analogue scale （VAS）, and adverse reactions. Results After treatment, the total effective rate of the observation group （88.9%） was higher than that of the control group （77.8%）, and the difference was statistically significant （P<0.05）. After treatment, the TCM syndrome score, EASI and VAS in the observation group were significantly lower than those in the control group （P<0.05）, and the difference was statistically significant. There was no significant difference in the total rate of adverse reactions between the two groups （P>0.05）. Conclusion The combination of Jiu-Wei-Yong-An granules and cetirizine tablets in the treatment of damp-heat eczema showed significantly better clinical outcomes in the observation group compared to the control. It effectively improved patient conditions, reduced skin lesion areas, and alleviated itching, with both safety and efficacy that merit clinical promotion.

Objective To evaluate the clinical efficacy of Traditional Chinese Medicine （TCM）external treatment methods in alleviating skin pruritus caused by eczema through a Meta-analysis. Methods Randomized clinical trials investigating the use of TCM external treatment methods for skin pruritus caused by eczema were searched in databases including China National Knowledge Infrastructure （CNKI）, VIP, Wanfang, Sinomed, PubMed, Embase, LILACS, and Cochrane, up to December 2024. Two reviewers independently screened and entered the statistical data, conducted bias risk assessment by the Cochrane Handbook for Systematic Reviews of Interventions, version 5.1.0, and performed Meta-analysis using RevMan 5.4.1. Results Ultimately, 14 studies involving 1 788 patients were included. Compared to the control group, TCM external treatment methods （treatment group）showed better improvement in pruritus scores （Z=11.88, P<0.000 01）, better improvement in Eczema Area and Severity Index （EASI） scores （Z=23.15, P<0.000 01）, higher overall clinical efficacy rate （Z=6.21, P<0.000 01）, better improvement in TCM symptoms （Z=5.49, P<0.000 01）, and lower clinical recurrence rate （Z=2.88, P=0.004）. Three of the included studies mentioned adverse reactions, with the treatment group showing lower adverse reactions than the control group. Conclusion The external treatment of TCM was more effective in treating skin pruritus caused by eczema compared to the control group. Given the biases and heterogeneity in the included literature, this conclusion needs to be further substantiated by more large-scale, multi-center, randomized, controlled, and double-blind studies.

In recent years, with the development of big data application technology, the real-world data and the corresponding generated real-world evidence have attracted the attention of healthcare regulatory authorities around the world. Regulators recognize that real-world research with specific purposes using real-world data can provide important evidence for regulatory decisions. A total of 90 instances of publicly released on the application of real-world evidence to support regulatory decisions of U. S. Food and Drug Administration are explored, and the positioning and value of real-world evidence in U. S. Food and Drug Administration regulatory decisions are summarized and analyzed, providing references for the use of real-world data and real-world evidence to promote medical devices whole cycle regulation in China.
United States ; United States Food and Drug Administration ; Equipment and Supplies ; Device Approval ; China

[This corrects the article DOI: 10.1016/j.apsb.2018.08.009.].

The regulatory processes in developmental biology research are significantly influenced by long non-coding RNAs (lncRNAs). However, the dynamics of lncRNA expression during human tooth development remain poorly understood. In this research, we examined the lncRNAs present in the dental epithelium (DE) and dental mesenchyme (DM) at the late bud, cap, and early bell stages of human fetal tooth development through bulk RNA sequencing. Developmental regulators co-expressed with neighboring lncRNAs were significantly enriched in odontogenesis. Specific lncRNAs expressed in the DE and DM, such as PANCR, MIR205HG, DLX6-AS1, and DNM3OS, were identified through a combination of bulk RNA sequencing and single-cell analysis. Further subcluster analysis revealed lncRNAs specifically expressed in important regions of the tooth germ, such as the inner enamel epithelium and coronal dental papilla (CDP). Functionally, we demonstrated that CDP-specific DLX6-AS1 enhanced odontoblastic differentiation in human tooth germ mesenchymal cells and dental pulp stem cells. These findings suggest that lncRNAs could serve as valuable cell markers for tooth development and potential therapeutic targets for tooth regeneration.
Humans ; RNA, Long Noncoding/metabolism* ; Odontogenesis/genetics* ; Tooth Germ/embryology* ; Cell Differentiation ; Gene Expression Regulation, Developmental ; Mesoderm/metabolism* ; Tooth/embryology* ; Gene Expression Profiling ; Sequence Analysis, RNA ; Dental Pulp/cytology*

Proteolysis-targeting chimeras (PROTACs) have shown considerable therapeutic potential across diverse fields such as cancer, inflammation, and neurodegenerative diseases, with numerous candidates already progressing into clinical trials. More recently, their application in antiviral therapy has been rapidly gaining momentum. This review systematically outlines the mechanistic foundations and design principles of PROTACs, highlights recent advances targeting coronaviruses (including SARS-CoV-2), hepatitis C virus, human immunodeficiency virus, and influenza viruses, and critically assesses key challenges—particularly the limited diversity of E3 ligase ligands, suboptimal oral bioavailability, and the lack of integrated platforms for druggability evaluation. Looking ahead, innovations in ligand discovery, pathway modulation, delivery technologies, and conditionally activated PROTAC designs are anticipated to overcome these barriers, ushering in a new era of precise and effective antiviral therapeutics.

Ceria nanoparticles(CeO2 NPs)have become popular materials in biomedical and industrial fields due to theirpotential applications in anti-oxidation,cancer therapy,photocatalytic degradation of pollutants,sensors,etc.Many methods,including gas phase,solid phase,liquid phase,and the newly proposed green synthesis method,have been reported for the synthesis of CeO2 NPs.Due to the wide application of CeO2 NPs,concerns about their adverse impacts on human health have been raised.This review covers recent studies on the biomedical applications of CeO2 NPs,including their use in the treatment of various diseases(e.g.,Alzheimer's disease,ischemic stroke,retinal damage,chronic inflammation,and cancer).CeO2 NP toxicity is discussed in terms of the different systems of the human body(e.g.,cytotoxicity,genotoxicity,respiratory toxicity,neurotoxicity,and hepatotoxicity).This comprehensive review covers both fundamental discoveries and exploratory progress in CeO2 NP research that may lead to practical developments in the future.

Objective:To investigate the diagnostic value of an intelligent assisted grading algorithm for nuclear cataract using anterior segment optical coherence tomography (AS-OCT) images.Methods:A diagnostic test study was conducted.AS-OCT image data were collected from 939 cases of 1 608 eyes of nuclear cataract patients at the Shanghai Tenth People's Hospital of Tongji University from November 2020 to September 2021.The data were obtained from the electronic case system and met the requirements for clinical reading clarity.Among them, there were 398 cases of 664 male eyes and 541 cases of 944 female eyes.The ages of the patients ranged from 18 to 94 years, with a mean age of (65.7±18.6) years.The AS-OCT images were labelled manually from one to six levels according to the Lens Opacities Classification System Ⅲ (LOCS Ⅲ grading system) by three experienced clinicians.This study proposed a global-local cataract grading algorithm based on multi-level ranking, which contains five basic binary classification global local network (GL-Net).Each GL-Net aggregates multi-scale information, including the cataract nucleus region and original image, for nuclear cataract grading.Based on ablation test and model comparison test, the model's performance was evaluated using accuracy, precision, sensitivity, F1 and Kappa, and all results were cross-validated by five-fold.This study adhered to the Declaration of Helsinjki and was approrved by Shanghai Tenth People's Hospital of Tongji University (No.21K216).Results:The model achieved the results with an accuracy of 87.81%, precision of 88.88%, sensitivity of 88.33%, F1 of 88.51%, and Kappa of 85.22% on the cataract dataset.The ablation experiments demonstrated that ResNet18 combining local and global features for multi-level ranking classification improved the accuracy, recall, specificity, F1, and Kappa metrics.Compared with ResNet34, VGG16, Ranking-CNN, MRF-Net models, the performance index of this model were improved.Conclusions:The deep learning-based AS-OCT nuclear cataract image multi-level ranking classification algorithm demonstrates high accuracy in grading cataracts.This algorithm may help ophthalmologists in improving the diagnostic accuracy and efficiency of nuclear cataract.

ObjectiveTo explore the current status and issues regarding the application of ancient books in clinical practice guidelines and expert consensus of traditional Chinese medicine （TCM） published in China， and to provide methodological recommendations for the incorporation of ancient books in the development of TCM guidelines. MethodsWe searched China National Knowledge Infrastructure （CNKI）， WanFang Data， VIP， SinoMed， PubMed， Embase， as well as six industry websites including China Association of Chinese Medicine， National Group Standards Information Platform， and Chinese Association of the Integration of Traditional and Western Medicine，etc. TCM clinical practice guidelines or expert consensus issued during January 1st， 2017， to November 26th， 2022 were searched. Clinical practice guidelines or expert consensus that explicitly referred to ancient books were included， and the content regarding the searching for ancient books， sources of access to ancient books， methods of evaluating the level of evidence， methods of evaluating the level of recommendation， and methods of evaluating the evidence for the ancient books were analysed. ResultsA total of 1,215 TCM clinical practice guidelines or expert consensus were retrieved， with 442 articles explicitly mentioning the application of ancient books， including 300 （67.87%） clinical practice guidelines and 142 （32.13%） expert consensus. Sixty of the 442 publications explicitly reported that ancient books searching had been conducted （13.57%）； among these 60 publications 27 （45.00%） explicitly reported ancient books searching strategies， and the most frequent method was manual searching with a total of 24 articles （40.00%）. The most popular search source was Chinese Medical Dictionary， a TCM classics database， with a total of 18 articles. 197 articles （44.57%） explicitly reported the evaluation criteria for the level of evidence， of which 141 articles （71.57%） involved the evaluation criteria for the ancient books； 413 articles （93.44%） mentioned ancient books in the recommendations， and only the source of formula name was mentioned in 409 （99.03%） of the publications. ConclusionThe current application of ancient books in TCM clinical practice guidelines and expert consensus is limited， with issues of non-standard searching and evaluation methods. Standar-dization and uniformity are needed in evidence grading and recommendation standards. Future research should clarify the scope and methods of applying ancient book， emphasize their integration with modern research evidence， and enhance their value and quality in the development of TCM clinical practice guidelines.

Objective To investigate the basic situation and occupational health conditions of nuclear medicine radiation workers in Jiangsu Province based on the research protocol developed by the Institute of Radiation Medicine, Chinese Academy of Medical Sciences for the nationwide study on the health effects of nuclear medicine radiation in China, understand the impact of occupational radiation on the physical health of nuclear medicine radiation workers, and provide a basis for improving the occupational protection of nuclear medicine radiation workers and reducing the risk of occupational radiation-related health issues. Methods A census approach was used to collect general data and occupational health information of nuclear medicine radiation workers in Jiangsu Province. The analysis focused on the abnormalities in physical examination indicators among radiation workers of different genders, ages, and working years to evaluate the health effects of occupational radiation exposure. Results The occupational health examination data of 472 nuclear medicine radiation workers were collected from 76 medical institutions in Jiangsu Province. The results showed that the detection rate of abnormal hypothyroidism in female workers (8.90%) was higher than that in male workers (2.54%) (P=0.028). With increasing working years, the detection rates of cataract and continuous decrease in white blood cell count increased (P＜0.001). The multivariate logistic regression identified working years as a risk factor for cataract and continuous decrease in white blood cell count (OR=1.59, 95%CI=1.40-3.35, P=0.0003; OR=4.15, 95%CI=3.11-29.91, P=0.0001). In addition, working years was also a risk factor for hypertension, fatty liver, and tumor (OR=2.28, 95%CI=1.51-3.47, P=8.76 × 10⁻⁵; OR=1.69, 95%CI=1.10-2.58, P=0.0145; OR=2.04, 95%CI=1.00-4.16, P=0.0469). Conclusion The study found that working in nuclear medicine could increase the risk of various radiation-related diseases, and the risk is influenced by factors such as working years.