Objective To compare the dosimetric differences in the heart and its substructures between two hybrid plans for hypofractionated whole-breast radiotherapy after breast-conserving surgery in patients with early-stage left-sided breast cancer. Methods A total of 46 patients with early-stage left-sided breast cancer who underwent hypofractionated whole-breast radiotherapy were randomly selected. Two hybrid radiotherapy plans were used, including hybrid intensity-modulated radiotherapy (H_IMRT) and hybrid volumetric-modulated arc therapy (H_VMAT). The heart and its substructures were contoured, including left anterior descending (LAD), left ventricle (LV), right coronary artery (RCA), and right ventricle (RV). The heart and substructure doses, as well as monitor units, were compared between H_IMRT and H_VMAT. Results Both hybrid plans met the clinical requirements. H_IMRT significantly outperformed H_VMAT for the heart (V₁₀, V₃₀, and D_mean), LAD (V₃₀, V₄₀, D_max and D_mean), LV (V₁₀, V₂₀ and D_mean), RCA (D_max, D_mean), and RV (V₅, V₁₀, D_mean) (P < 0.001). Additionally, H_IMRT was significantly superior to H_VMAT for heart V₅, LAD V₂₀, and RV V₂₀ (P = 0.005, 0.035 and 0.037). For LAD (V₁₅, V₄₀) and LV (V₅, V₂₅), H_IMRT was slightly better than H_VMAT, and the difference was not statistically significant. Conclusion Both H_IMRT and H_VMAT hybrid radiotherapy plans are suitable for hypofractionated whole-breast radiotherapy after breast-conserving surgery in patients with early-stage left-sided breast cancer. H_IMRT is slightly better than H_VMAT in dose sparing for the heart and its substructures.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Traditional Chinese Medicine (TCM), as a treasure of the Chinese nation, plays a significant role in maintaining public health. In 2019, the Central Committee of the Communist Party of China and the State Council proposed for the first time the establishment of a TCM registration and evaluation evidence system that integrates TCM theory, "personal experience" and clinical trials (referred to as the "Three-in-One" System) to promote the inheritance and innovation of TCM. Subsequently, the National Medical Products Administration issued several guiding principles to advance the improvement and implementation of this system. Owing to the complexity of its implementation, there are still differing understandings within the TCM industry regarding the positioning of the "Three-in-One" Registration and Evaluation Evidence System, as well as the connotation and value orientation of the "personal experience." To address this, Academician WANG Qi, President of the TCM Association, China International Exchange and Promotion Association for Medical and Healthcare and TCM master, led a group of academicians, TCM masters, TCM pharmacology experts and clinical TCM experts to convene a "Seminar on Promoting the Implementation of the ′Three-in-One′ Registration and Evaluation Evidence System for Chinese Medicinals." Through extensive discussions, an expert consensus was formed, clarifying the different roles of the TCM theory, "personal experience" and clinical trials within the system. It was further emphasized that the "personal experience" is the core of this system, and its data should be derived from clinical practice scenarios. In the future, the improvement of this system will require collaborative efforts across multiple fields to promote the high-quality development of the Chinese medicinal industry.

ObjectiveTo observe the effects of Coptidis Rhizoma-Fermentum Rubrum on non-alcoholic fatty liver disease （NAFLD） in mice and explore its possible mechanisms. MethodSixty male SPF C57BL/6J mice were randomly divided into six groups： control group， model group， low-， medium-， and high-dose Coptidis Rhizoma-Fermentum Rubrum group （0.75， 1.5， 3 g·kg^-1）， and metformin group （0.075 g·kg^-1）， with 10 mice in each group. NAFLD mouse models were induced by high-fat diet feeding for 24 weeks. The low， medium， and high-dose Coptidis Rhizoma-Fermentum Rubrum groups were administered corresponding doses of Coptidis Rhizoma-Fermentum Rubrum by gavage， while the control and model groups received an equivalent amount of saline for four weeks. Serum total cholesterol （TC）， triglycerides （TG）， free fatty acids （FFA）， and liver function markers including alanine aminotransferase （ALT） and aspartate aminotransferase （AST） were measured using an automatic biochemical analyzer. Hematoxylin-eosin （HE） and oil red O staining were used to detect liver lipid deposition， and Prussian blue staining was used to measure liver ferrous ion levels. Western blot was performed to detect the expression of key proteins in the nuclear factor erythroid-2-related factor 2 （Nrf2）-glutathione peroxidase 4 （GPX4） axis. ResultAfter 24 weeks of high-fat feeding， compared with the control group， the model group showed significant increases in body weight， liver weight and liver index， and serum lipid levels （P<0.01）， as well as substantial hepatic lipid deposition with marked steatosis. Compared with the model group， Coptidis Rhizoma-Fermentum Rubrum intervention reduced body weight （P<0.01）， liver weight and liver index （P<0.01）， and serum lipid levels （P<0.05， P<0.01）， improved liver function （P<0.01）， and decreased hepatic lipid deposition， with the low-dose Coptidis Rhizoma-Fermentum Rubrum group showing the best effect. Western blot results showed that compared with those in the control group， the expression levels of Nrf2， heme oxygenase-1 （HO-1）， kelch-like ECH-associated protein 1（Keap1）， and GPX4 proteins in the model group were decreased （P<0.05， P<0.01）. Compared with the model group， Coptidis Rhizoma-Fermentum Rubrum increased the expression levels of these proteins （P<0.05， P<0.01）. ConclusionCoptidis Rhizoma-Fermentum Rubrum can alleviate fatty liver in mice， improve liver function， and reduce hepatic lipid deposition， possibly by regulating the Nrf2/GPX4 ferroptosis axis.

The health effects associated with environmental pollutants remain one of the major public health issues at present. The research method focusing on the population as the research subjects is limited by reliable cohorts, and the research method targeting individual molecules cannot fully reflect the biological health effects under environmental pollutant stress. Using high-throughput multi-omics, machine learning, and epigenetic detection to conduct targeted research and joint analysis on cells, organoids, organs, animals, and humans in different biological dimensions will help provide data support for the study of potential targets and biological effects of environmental pollutants, providing a theoretical basis for the risk assessment and safety evaluation of environmental pollutants.

Objective To evaluate the effect of modified vertical tooth preparation with full zirconium crown resto-ration in molar area.Methods A randomized study was conducted in 84 patients with all-ceramic crown restoration of posterior teeth.90 full crown restorations were collected and randomly divided into two groups:45 teeth in exper-imental group were treated with modified vertical tooth preparation,while 45 teeth in control group were treated with conventional horizontal tooth preparation with full zirconium crown restoration.When patients wore teeth,the resto-ration effects of the two groups were evaluated respectively,and then the marginal and internal fitness of the two groups were measured by silicone rubber replication method;gingival index(GI)and sulcus bleeding index(SBI)scores were recorded 6 months after wearing teeth.Results The results of chair-side evaluation of the two groups showed that the marginal fitness of the experimental group was better than that of the control group,and the differ-ence was statistically significant(P=0.036);the measured value of marginal fitness of prostheses in experimental group was better than that in control group,and the difference was statistically significant(P＜0.001);after 6 months,there was no mechanical complication between the two groups,and there was no significant difference in GI and SBI scores of periodontal soft tissue indexes.Conclusion Modified vertical tooth preparation abutment can significantly improve the marginal fitness of all-ceramic crown,which will not change the health status of peri-crown gingiva.

Objective:To assess the value of serum alpha-fetoprotein(AFP),protein induced by vitamin K absence or antagonist-Ⅱ(PIVKA-Ⅱ)and glypican-3(GPC-3)in the diagnosis of hepatocellular carcinoma(HCC).Methods:Studies of AFP,PIVKA-Ⅱ,GPC-3 or in combination for the diagnosis of HCC since 2002 were searched in PubMed,Web of Science and Embase databases.The literature was screened according to the inclusion and exclusion criteria,the quality of the included articles was evaluated by QUADAS checklist,and relevant data were extracted by Meta DiSc,Review Manager 5.4 and Stata 15.1.The diagnostic values of AFP,PIVKA-Ⅱ and GPC-3 alone or in combination for HCC were assessed with receiver operating characteristic(ROC)curve.Results:A total of 32 articles were included in the study.Meta-analysis showed that when a single marker was used to diagnose HCC,the area under the ROC curve(AUC)of PIVKA-Ⅱ was the highest(0.88,95%CI:0.85-0.91),followed by GPC-3 and AFP.The AUC of combination of serum markers was higher than that of a single marker,and the AUC of PIVKA-Ⅱ combined with GPC-3 was the highest(0.90,95%CI:0.87-0.92).When a single marker was used for diagnosis,the sensitivity of PIVKA-Ⅱ and GPC-3 were relatively high(0.75 and 0.76),while the specificity of PIVKA-Ⅱ(0.88)and AFP(0.87)were higher than that of GPC-3(0.81).The sensitivity of the combination of serum markers was higher than that of a single marker,while the specificity was not significantly improved.When a single marker is used to diagnose HCC,the diagnostic odds ratio(DOR)of PIVKA-Ⅱ was the highest(22,95%CI:13-36),followed by GPC-3 and AFP.The DOR of the combination of two markers in the diagnosis of HCC was higher than that of a single marker,and the DOR of AFP combined with GPC-3 was the highest(25,95%CI:9-67).The DOR of the combination of the three markers was significantly reduced to 10(95%CI:7-45).Conclusions:When a single marker is used,PIVKA-Ⅱhas a higher diagnostic value for HCC.The combination of two markers can significantly improve the diagnostic sensitivity,and AFP combined with PIVKA-Ⅱ is recommended for the diagnosis of HCC.The combination of all three markers failed to further improve the diagnostic value.