Image 1.

Objective:To explore the use of near-infrared autofluorescence probe (NIRAF-P) and its application in identifying parathyroid glands during surgery.Methods:A total of 68 patients undergoing thyroid surgery at Peking Union Medical College Hospital and Beijing Longfu Hospital between Dec. 2023 and Jun. 2024 were selected. During the operation, the near-infrared parathyroid gland detector was used to identify the parathyroid gland tissue to be tested, and histopathological examination was performed. The positive predictive value and accuracy of the near-infrared parathyroid gland detector were analyzed.Results:A total of 111 parathyroid glands were identified in 68 patients, and the positive predictive value and accuracy of the NIRAF-P were 95.5% and 94.6%, respectively.Conclusions:The NIRAF-P has high accuracy in identifying parathyroid glands. The standardized application of the NIRAF-P can help improve the efficiency of identifying parathyroid glands during surgery.

ObjectiveTo investigate the effect of Rehmanniae Radix Praeparata on neurological function injury in ischemic stroke rats and explore its mechanism. MethodMale SD rats were randomized into sham operation， model， low- and high -dose （3.5 g·kg^-1 and 7 g·kg^-1） Rehmannia Radix Praeparata， and nimodipine （0.01 g·kg^-1） groups. The rat model of middle cerebral artery occlusion （MCAO） was established with the modified suture occlusion method. Zea-Longa 5-point scoring was employed to evaluate the neurological function of rats. The cerebral infarction volume was detected by 2，3，5-triphenyltetrazolium chloride （TTC） staining. Hematoxylin-eosin staining and Nissl staining were employed to observe the morphology and damage of the brain tissue. Meanwhile， the serum levels of lactate dehydrogenase （LDH）， oxidative stress-related indicators superoxide dismutase （SOD）， glutathione peroxidase 4 （GPX4）， and malondialdehyde （MDA）， and the iron （Fe） content in the brain tissue were determined. To explore the mechanism of Rehmanniae Radix Preparata in mitigating the neurological damage in ischemic stroke rats， Western blotting was employed to determine the expression levels of proteins in the ischemic brain tissue. The autophagy-associated proteins included autophagy effector （beclin-1）， microtubule-associated protein light chain 3 （LC3B）， and ubiquitin-binding protein p62 （p62）. The ferroptosis-associated proteins included transferrin （TF）， transferrin receptor 1 （TFR1）， ferritin heavy chain 1 （FTH1）， and ferropotin （FPN1）. The neurological function injury-associated proteins included brain-derived neurotrophic factor （BDNF） and tyrosine kinase receptor B （TrkB）. ResultCompared with the sham operation group， the model group showed increased neurological function score， cerebral infarction volume， and appearance of nuclear pyknosis and vacuole of cells in the cerebral cortex. In addition， the model group presented elevated levels of LDH， MDA， and Fe （P<0.01） and lowered levels of SOD and GPX4 （P<0.01）. Compared with the model group， Rehmanniae Radix Praeparata decreased the content of LDH， MDA， and Fe （P<0.05， P<0.01） and elevated the levels of SOD and GPX4 （P<0.05， P<0.01）. Compared with the sham operation group， the modeling promoted the expression of beclin-1，LC3B Ⅱ/Ⅰ， TF， and TFR1 and inhibited the expression of p62， FTH1， FPN1， BDNF， and TrkB （P<0.01）. The expression levels of these proteins were recovered after the treatment with Rehmanniae Radix Praeparata. ConclusionRehmanniae Radix Praeparata may inhibit ferroptosis and improve the neurological function in ischemic stroke rats by down-regulating the autophagy level in the brain tissue.

Objective The purpose of this article is to summarize and review the current status of the construction of clinical research evaluation systems in domestic public hospitals,identify existing problems in the evaluation system,and propose development strategies and suggestions.Methods Retrieved relevant articles,dissertations and policies from the past five years(2018-2022),screened the titles,viewed the full texts of 52 selected papers and their references,and summarized them.Results The"five-only"indicators have long been an important indicator for evaluating clinical research in public hospitals,but in today's scientific research environment and policy environment,the"five-only"evaluation system has revealed its utilitarian draw-backs and gradually evolved into a hindrance to scientific research.It is urgent to break through the"five-only"orientation and establish a clinical research evaluation system oriented towards"transforming and applying transformation of scientific research achievements".Conclusion The evaluation system for clinical research should break the previous"five-only"evaluation model based on quantity-oriented scientific research evaluation.We can draw on the framework of the research output,influence,and environment indicators in the UK's REF Excellence Framework model,combine the American APT system and the Chinese STEM indicator dimensions,explore multi-outcome evaluation,integrate developmental indicators,and continuously improve the indica-tor system and application methods in practice to promote the development of clinical research in public hospitals.

Background::Breast cancer (BC) risk-stratification tools for Asian women that are highly accurate and can provide improved interpretation ability are lacking. We aimed to develop risk-stratification models to predict long- and short-term BC risk among Chinese women and to simultaneously rank potential non-experimental risk factors.Methods::The Breast Cancer Cohort Study in Chinese Women, a large ongoing prospective dynamic cohort study, includes 122,058 women aged 25-70 years old from the eastern part of China. We developed multiple machine-learning risk prediction models using parametric models (penalized logistic regression, bootstrap, and ensemble learning), which were the short-term ensemble penalized logistic regression (EPLR) risk prediction model and the ensemble penalized long-term (EPLT) risk prediction model to estimate BC risk. The models were assessed based on calibration and discrimination, and following this assessment, they were externally validated in new study participants from 2017 to 2020.Results::The AUC values of the short-term EPLR risk prediction model were 0.800 for the internal validation and 0.751 for the external validation set. For the long-term EPLT risk prediction model, the area under the receiver operating characteristic curve was 0.692 and 0.760 in internal and external validations, respectively. The net reclassification improvement index of the EPLT relative to the Gail and the Han Chinese Breast Cancer Prediction Model (HCBCP) models for external validation was 0.193 and 0.233, respectively, indicating that the EPLT model has higher classification accuracy.Conclusions::We developed the EPLR and EPLT models to screen populations with a high risk of developing BC. These can serve as useful tools to aid in risk-stratified screening and BC prevention.

OBJECTIVE To explore the compatibility rules of traditional Chinese medicines used to enhance immunity in com-pound patent prescriptions using data mining method,and analyze the potential mechanism of action of core drugs by network pharma-cology and molecular docking technology.METHODS The patent data of the immunity enhancing compound of traditional Chinese medicine from the State Intellectual Property Office was mined,the frequency of traditional Chinese medicine,association rules and complex network were analyzed,and core drugs were screened.The TCMSP platform was used to screen the active ingredients of core drugs and predict the targets.Immune-related targets were screened from disease databases OMIM,DrugBank,GeneCards and Uniprot to obtain the intersection targets of core Chinese medicine and immunity.Protein interaction(PPI)analysis and gene ontology(GO)function and pathway enrichment analysis of Kyoto Encyclopedia of Genes and Genomes(KEGG)were performed for intersection targets.Molecular docking technology was used to verify the active ingredients and key targets of the drug.RESULTS According to the analysis of Chinese herbal compound patents,five core drugs were obtained:Astragalus,ginseng,Wolfberry,poria,Angelica.The effective active ingredients corresponding to 214 targets,1 784 immune-related targets,55 intersection targets,the key action targets are RELA,TNF,TP53,IL-6.The results of GO analysis showed that the main regulation aspects were the response to bacteria origin molecules,the response to lipopolysaccharide,and the response to biological stimuli.There were 160 KEGG pathways,mainly invol-ving lipid and atherosclerosis,Chagas disease,TNF signaling pathway,cancer pathway and other signaling pathways.The molecular docking results showed that quercetin and kaempferol could bind to RELA,TNF,TP53 and IL-6.CONCLUSION The traditional Chinese medicines used in the patent literature to enhance immunity are mainly deficiency tonic drugs,and the main effective compo-nents are quercetin,kaempferol and other compounds.RELA,TNF,TP53 and IL-6 are the key targets,which play the role of enhan-cing immunity through multiple pathways such as lipid,atherosclerosis,Chagas disease,TNF signaling pathway and cancer pathway.

Objective:This study examined the development trend and research hotspot of cardiopulmonary brain resuscitation in the last ten years by a visual analysis of the literature on post-cardiac arrest brain injury.Methods:English articles were acquired from the Web of Sciences (WOS) core database. CiteSpace 5.8.R3 software was used to analyze annual publications, countries, institutions, authors. We identified the trending research areas by analyzing collaborative networks, keywords co-occurrence, burst detection analysis, timeline and time-zone diagrams.Results:The search included 10 867 articles in the WOS core database from Jan 1, 2013 to Oct 25, 2023. In the last ten years, the top 3 nations were the United States, China, and Japan, with the United States having the most citation of 3691 and an centrality of 0.47. The author with the highest number of publications was Hans Friberg from Sweden. The top 5 most frequent keywords in WOS were cardiac arrest, cardiopulmonary resuscitation, resuscitation, survival, outcome. Keyword cluster analysis showed 4 clusters, including: #0 of-hospital cardiac arrest, #1 traumatic brain injury, #2 targeted temperature management, #3 global cerebral ischemia. Keyword burst showed that the top 5 ranked by strength are mild hypothermia, emergency cardiovascular care, neuron specific enolase, cerebral ischemia, epinephrine, and the top 5 ranked by the year of burst begins are out-of-hospital cardiac arrest, cpr, epinephrine, coma, and task force. The timeline and time zone charts indicated that, starting in 2017, the main fields of study concentration were traumatic brain injury and out-of-hospital cardiac arrest. Additionally, extracorporeal membrane, intensive care, risk factors, and electroencephalography were identified as new high-frequency keywords.Conclusions:Over the past ten years, the research hotspots on post-cardiac arrest brain injury include out-of-hospital cardiac arrest, traumatic brain injury, and target temperature control. The research development trends will be extracorporeal membrane oxygenation, critical care, and EEG.

Breast cancer has become the most common malignant tumor in the world. Heat shock protein 90 (HSP90) is a kind of molecular chaperone which can promote protein folding and maintain protein stability. HSP90 includes HSP90α, HSP90β, GRP94 and TRAP1 subtypes. Previous studies have found that the level of HSP90 is significantly increased in malignant tumors such as breast cancer, and is closely related to the occurrence and development of tumors. Meanwhile, the research on inhibitors targeting HSP90 has also attracted much attention. In this paper, we reviewed the expression of four HSP90 subtypes in breast cancer and their relationship with the clinicopathologic feature and prognosis of patients, discussed the research progress of specific inhibitors of HSP90 subtypes in breast cancer, and analyzed the application prospect of HSP90 as biomarkers for breast cancer prognosis monitoring and therapeutic targets.

Objective:To explore the influencing factors of severe pneumonia in children with respiratory syncytial virus (RSV) infection.Methods:A retrospective case-control study was used to collect 210 children with RSV infected pneumonia admitted to Hebei Children′s Hospital from October 2017 to October 2020. Among them, 70 children with severe pneumonia were included in the severe pneumonia group, and 140 children with common pneumonia were included in the common pneumonia group; the baseline data and relevant laboratory indicators of the two groups were compared; Logistic regression was used to analyze the influencing factors of severe pneumonia in children infected with RSV.Results:The proportions of wheezing, congenital heart disease, respiratory failure, heart failure and pleural effusion of children in severe pneumonia group were higher than those in common pneumonia group, and the forced vital capacity (FVC) and forced expiratory volume in the first second (FEV 1) were lower than those in common pneumonia group (all P<0.05); the levels of C-reactive protein (CRP), CD8 + cells, RSV load and Beclin-1 in severe pneumonia group were higher than those in common pneumonia group, and the levels of CD4 + cells and 1, 25-dihydroxyvitamin D [1, 25-(OH) 2D] were lower than those in common pneumonia group (all P<0.05). After treatment, the levels of CRP, CD8 + cells and Beclin-1 in children with severe pneumonia were lower than those before treatment, and the levels of CD4 + cells and 1, 25-(OH) 2D were higher than those before treatment (all P<0.05). Multiple regression model analysis was established. The results showed that congenital heart disease, high CRP level, high CD8 + cells, high RSV load and high Beclin-1 level were risk factors for severe pneumonia in children with RSV infected pneumonia (all OR>1, P<0.05), and high CD4 + cells and 1, 25-(OH) 2D level were protective factors (all OR<1, P<0.05). Conclusions:Severe pneumonia in children with RSV infected pneumonia may be affected by congenital heart disease, CRP, CD4 + cells, CD8 + cells, 1, 25-(OH) 2D, RSV load and Beclin-1.